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You searched for subject:(neural modelling). Showing records 1 – 30 of 172 total matches.

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McMaster University

1. Finnegan, Rory. Computational Modelling of Adult Hippocampal Neurogenesis.

Degree: MSc, 2016, McMaster University

The hippocampus has been the focus of memory research for decades. While the functional role of this structure is not fully understood, it is widely… (more)

Subjects/Keywords: Hippocampus; Neurogenesis; Modelling; Neural Networks

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APA (6th Edition):

Finnegan, R. (2016). Computational Modelling of Adult Hippocampal Neurogenesis. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/20666

Chicago Manual of Style (16th Edition):

Finnegan, Rory. “Computational Modelling of Adult Hippocampal Neurogenesis.” 2016. Masters Thesis, McMaster University. Accessed July 15, 2020. http://hdl.handle.net/11375/20666.

MLA Handbook (7th Edition):

Finnegan, Rory. “Computational Modelling of Adult Hippocampal Neurogenesis.” 2016. Web. 15 Jul 2020.

Vancouver:

Finnegan R. Computational Modelling of Adult Hippocampal Neurogenesis. [Internet] [Masters thesis]. McMaster University; 2016. [cited 2020 Jul 15]. Available from: http://hdl.handle.net/11375/20666.

Council of Science Editors:

Finnegan R. Computational Modelling of Adult Hippocampal Neurogenesis. [Masters Thesis]. McMaster University; 2016. Available from: http://hdl.handle.net/11375/20666


University of Waterloo

2. Rasmussen, Daniel. A neural modelling approach to investigating general intelligence.

Degree: 2010, University of Waterloo

 One of the most well-respected and widely used tools in the study of general intelligence is the Raven's Progressive Matrices test, a nonverbal task wherein… (more)

Subjects/Keywords: general intelligence; neural modelling

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APA (6th Edition):

Rasmussen, D. (2010). A neural modelling approach to investigating general intelligence. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/5330

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Rasmussen, Daniel. “A neural modelling approach to investigating general intelligence.” 2010. Thesis, University of Waterloo. Accessed July 15, 2020. http://hdl.handle.net/10012/5330.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Rasmussen, Daniel. “A neural modelling approach to investigating general intelligence.” 2010. Web. 15 Jul 2020.

Vancouver:

Rasmussen D. A neural modelling approach to investigating general intelligence. [Internet] [Thesis]. University of Waterloo; 2010. [cited 2020 Jul 15]. Available from: http://hdl.handle.net/10012/5330.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rasmussen D. A neural modelling approach to investigating general intelligence. [Thesis]. University of Waterloo; 2010. Available from: http://hdl.handle.net/10012/5330

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Sydney

3. Abeysuriya, Romesh Gerald. Physiologically-based Brain State Modeling .

Degree: 2014, University of Sydney

 The brain is the most complex organ in the body, and exhibits rich multiscale dynamics. Changes in arousal state (such as falling asleep) are accompanied… (more)

Subjects/Keywords: Computational neuroscience; Neural field theory; Modelling

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APA (6th Edition):

Abeysuriya, R. G. (2014). Physiologically-based Brain State Modeling . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/14469

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Abeysuriya, Romesh Gerald. “Physiologically-based Brain State Modeling .” 2014. Thesis, University of Sydney. Accessed July 15, 2020. http://hdl.handle.net/2123/14469.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Abeysuriya, Romesh Gerald. “Physiologically-based Brain State Modeling .” 2014. Web. 15 Jul 2020.

Vancouver:

Abeysuriya RG. Physiologically-based Brain State Modeling . [Internet] [Thesis]. University of Sydney; 2014. [cited 2020 Jul 15]. Available from: http://hdl.handle.net/2123/14469.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Abeysuriya RG. Physiologically-based Brain State Modeling . [Thesis]. University of Sydney; 2014. Available from: http://hdl.handle.net/2123/14469

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Alberta

4. Li, Xiangfei. Neural networks modelling of stream nitrogen using remote sensing information: model development and application.

Degree: PhD, Department of Civil and Environmental Engineering, 2009, University of Alberta

 In remotely located forest watersheds, monitoring nitrogen (N) in streams often is not feasible because of the high costs and site inaccessibility. Therefore, modelling tools… (more)

Subjects/Keywords: Neural networks; Nitrogen; Remote sensing; Modelling

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Li, X. (2009). Neural networks modelling of stream nitrogen using remote sensing information: model development and application. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/n009w309g

Chicago Manual of Style (16th Edition):

Li, Xiangfei. “Neural networks modelling of stream nitrogen using remote sensing information: model development and application.” 2009. Doctoral Dissertation, University of Alberta. Accessed July 15, 2020. https://era.library.ualberta.ca/files/n009w309g.

MLA Handbook (7th Edition):

Li, Xiangfei. “Neural networks modelling of stream nitrogen using remote sensing information: model development and application.” 2009. Web. 15 Jul 2020.

Vancouver:

Li X. Neural networks modelling of stream nitrogen using remote sensing information: model development and application. [Internet] [Doctoral dissertation]. University of Alberta; 2009. [cited 2020 Jul 15]. Available from: https://era.library.ualberta.ca/files/n009w309g.

Council of Science Editors:

Li X. Neural networks modelling of stream nitrogen using remote sensing information: model development and application. [Doctoral Dissertation]. University of Alberta; 2009. Available from: https://era.library.ualberta.ca/files/n009w309g


University of KwaZulu-Natal

5. Ebhota, Virginia Chika. Modelling of propagation path loss using adaptive hybrid artificial neural network approach for outdoor environments.

Degree: 2018, University of KwaZulu-Natal

 Prediction of signal power loss between transmitter and receiver with minimal error is an important issue in telecommunication network planning and optimization process. Some of… (more)

Subjects/Keywords: Artificial neural networks.; Modelling.; Propagation path loss.

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APA (6th Edition):

Ebhota, V. C. (2018). Modelling of propagation path loss using adaptive hybrid artificial neural network approach for outdoor environments. (Thesis). University of KwaZulu-Natal. Retrieved from https://researchspace.ukzn.ac.za/handle/10413/16631

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ebhota, Virginia Chika. “Modelling of propagation path loss using adaptive hybrid artificial neural network approach for outdoor environments.” 2018. Thesis, University of KwaZulu-Natal. Accessed July 15, 2020. https://researchspace.ukzn.ac.za/handle/10413/16631.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ebhota, Virginia Chika. “Modelling of propagation path loss using adaptive hybrid artificial neural network approach for outdoor environments.” 2018. Web. 15 Jul 2020.

Vancouver:

Ebhota VC. Modelling of propagation path loss using adaptive hybrid artificial neural network approach for outdoor environments. [Internet] [Thesis]. University of KwaZulu-Natal; 2018. [cited 2020 Jul 15]. Available from: https://researchspace.ukzn.ac.za/handle/10413/16631.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ebhota VC. Modelling of propagation path loss using adaptive hybrid artificial neural network approach for outdoor environments. [Thesis]. University of KwaZulu-Natal; 2018. Available from: https://researchspace.ukzn.ac.za/handle/10413/16631

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Canterbury

6. Asgari, Hamid. Modelling, Simulation and Control of Gas Turbines Using Artificial Neural Networks.

Degree: Mechanical Engineering, 2014, University of Canterbury

 This thesis investigates novel methodologies for modelling, simulation and control of gas turbines using ANNs. In the field of modelling and simulation, two different types… (more)

Subjects/Keywords: gas turbine; neural network; modelling; simulation; control

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APA (6th Edition):

Asgari, H. (2014). Modelling, Simulation and Control of Gas Turbines Using Artificial Neural Networks. (Thesis). University of Canterbury. Retrieved from http://hdl.handle.net/10092/9355

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Asgari, Hamid. “Modelling, Simulation and Control of Gas Turbines Using Artificial Neural Networks.” 2014. Thesis, University of Canterbury. Accessed July 15, 2020. http://hdl.handle.net/10092/9355.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Asgari, Hamid. “Modelling, Simulation and Control of Gas Turbines Using Artificial Neural Networks.” 2014. Web. 15 Jul 2020.

Vancouver:

Asgari H. Modelling, Simulation and Control of Gas Turbines Using Artificial Neural Networks. [Internet] [Thesis]. University of Canterbury; 2014. [cited 2020 Jul 15]. Available from: http://hdl.handle.net/10092/9355.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Asgari H. Modelling, Simulation and Control of Gas Turbines Using Artificial Neural Networks. [Thesis]. University of Canterbury; 2014. Available from: http://hdl.handle.net/10092/9355

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Waterloo

7. Noble, Jeremy William. Development of a Neuromechanical Model for Investigating Sensorimotor Interactions During Locomotion.

Degree: 2010, University of Waterloo

 Recently it has been suggested that the use of neuromechanical simulations could be used to further our understanding of the neural control mechanisms involved in… (more)

Subjects/Keywords: Locomotion; Neural Control; Biomechanics; Modelling; Neuromechanical; Simulations

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APA (6th Edition):

Noble, J. W. (2010). Development of a Neuromechanical Model for Investigating Sensorimotor Interactions During Locomotion. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/5601

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Noble, Jeremy William. “Development of a Neuromechanical Model for Investigating Sensorimotor Interactions During Locomotion.” 2010. Thesis, University of Waterloo. Accessed July 15, 2020. http://hdl.handle.net/10012/5601.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Noble, Jeremy William. “Development of a Neuromechanical Model for Investigating Sensorimotor Interactions During Locomotion.” 2010. Web. 15 Jul 2020.

Vancouver:

Noble JW. Development of a Neuromechanical Model for Investigating Sensorimotor Interactions During Locomotion. [Internet] [Thesis]. University of Waterloo; 2010. [cited 2020 Jul 15]. Available from: http://hdl.handle.net/10012/5601.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Noble JW. Development of a Neuromechanical Model for Investigating Sensorimotor Interactions During Locomotion. [Thesis]. University of Waterloo; 2010. Available from: http://hdl.handle.net/10012/5601

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

8. Sanz Leon, Paula. Development of a computational and neuroinformatics framework for large-scale brain modelling : Spatiotemporal dynamics of words production.

Degree: Docteur es, Neurosciences, 2014, Aix Marseille Université

The central theme of this thesis is the development of both a generalised computational model for large-scale brain networks and the neuroinformatics platform that enables… (more)

Subjects/Keywords: Large-Scale brain modelling; Neuroinformatics; Tvb; Neural fields; Large-Scale brain modelling; Neuroinformatics; Tvb; Neural fields

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APA (6th Edition):

Sanz Leon, P. (2014). Development of a computational and neuroinformatics framework for large-scale brain modelling : Spatiotemporal dynamics of words production. (Doctoral Dissertation). Aix Marseille Université. Retrieved from http://www.theses.fr/2014AIXM5036

Chicago Manual of Style (16th Edition):

Sanz Leon, Paula. “Development of a computational and neuroinformatics framework for large-scale brain modelling : Spatiotemporal dynamics of words production.” 2014. Doctoral Dissertation, Aix Marseille Université. Accessed July 15, 2020. http://www.theses.fr/2014AIXM5036.

MLA Handbook (7th Edition):

Sanz Leon, Paula. “Development of a computational and neuroinformatics framework for large-scale brain modelling : Spatiotemporal dynamics of words production.” 2014. Web. 15 Jul 2020.

Vancouver:

Sanz Leon P. Development of a computational and neuroinformatics framework for large-scale brain modelling : Spatiotemporal dynamics of words production. [Internet] [Doctoral dissertation]. Aix Marseille Université 2014. [cited 2020 Jul 15]. Available from: http://www.theses.fr/2014AIXM5036.

Council of Science Editors:

Sanz Leon P. Development of a computational and neuroinformatics framework for large-scale brain modelling : Spatiotemporal dynamics of words production. [Doctoral Dissertation]. Aix Marseille Université 2014. Available from: http://www.theses.fr/2014AIXM5036


University of Edinburgh

9. Kivinen, Jyri Juhani. Statistical models for natural scene data.

Degree: PhD, 2014, University of Edinburgh

 This thesis considers statistical modelling of natural image data. Obtaining advances in this field can have significant impact for both engineering applications, and for the… (more)

Subjects/Keywords: 006.3; Image understanding; Statistical image modelling; Texture modelling; Visual boundary prediction; Boltzmann machines; Neural networks

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APA (6th Edition):

Kivinen, J. J. (2014). Statistical models for natural scene data. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/8879

Chicago Manual of Style (16th Edition):

Kivinen, Jyri Juhani. “Statistical models for natural scene data.” 2014. Doctoral Dissertation, University of Edinburgh. Accessed July 15, 2020. http://hdl.handle.net/1842/8879.

MLA Handbook (7th Edition):

Kivinen, Jyri Juhani. “Statistical models for natural scene data.” 2014. Web. 15 Jul 2020.

Vancouver:

Kivinen JJ. Statistical models for natural scene data. [Internet] [Doctoral dissertation]. University of Edinburgh; 2014. [cited 2020 Jul 15]. Available from: http://hdl.handle.net/1842/8879.

Council of Science Editors:

Kivinen JJ. Statistical models for natural scene data. [Doctoral Dissertation]. University of Edinburgh; 2014. Available from: http://hdl.handle.net/1842/8879

10. Panda, Sunita. Neural network modelling for channel equalization; -.

Degree: Electrical engineering, 2015, Shiksha o Anusandhan University

Abstract available

Reference p.77-100 and Publication p.101

Advisors/Committee Members: Panigrahi, Siba Prasada.

Subjects/Keywords: Channel equalization; Modelling; Network; Neural

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APA (6th Edition):

Panda, S. (2015). Neural network modelling for channel equalization; -. (Thesis). Shiksha o Anusandhan University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/45863

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Panda, Sunita. “Neural network modelling for channel equalization; -.” 2015. Thesis, Shiksha o Anusandhan University. Accessed July 15, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/45863.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Panda, Sunita. “Neural network modelling for channel equalization; -.” 2015. Web. 15 Jul 2020.

Vancouver:

Panda S. Neural network modelling for channel equalization; -. [Internet] [Thesis]. Shiksha o Anusandhan University; 2015. [cited 2020 Jul 15]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/45863.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Panda S. Neural network modelling for channel equalization; -. [Thesis]. Shiksha o Anusandhan University; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/45863

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas A&M University

11. Radwan, Mohamed Mahmoud Ahmed. A Case Study of Blast Vibration Modelling in the Hanason Servtex Quarry, Garden Ridge City, Texas.

Degree: 2016, Texas A&M University

 Comprehensive evaluation of the vibrations transmitted to the site from external sources constitute a significant environmental facet of building and facility design. External sources include,… (more)

Subjects/Keywords: blast vibrations; empirical equation; Artificial Neural Networks; Finite Element Modelling

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APA (6th Edition):

Radwan, M. M. A. (2016). A Case Study of Blast Vibration Modelling in the Hanason Servtex Quarry, Garden Ridge City, Texas. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/159103

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Radwan, Mohamed Mahmoud Ahmed. “A Case Study of Blast Vibration Modelling in the Hanason Servtex Quarry, Garden Ridge City, Texas.” 2016. Thesis, Texas A&M University. Accessed July 15, 2020. http://hdl.handle.net/1969.1/159103.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Radwan, Mohamed Mahmoud Ahmed. “A Case Study of Blast Vibration Modelling in the Hanason Servtex Quarry, Garden Ridge City, Texas.” 2016. Web. 15 Jul 2020.

Vancouver:

Radwan MMA. A Case Study of Blast Vibration Modelling in the Hanason Servtex Quarry, Garden Ridge City, Texas. [Internet] [Thesis]. Texas A&M University; 2016. [cited 2020 Jul 15]. Available from: http://hdl.handle.net/1969.1/159103.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Radwan MMA. A Case Study of Blast Vibration Modelling in the Hanason Servtex Quarry, Garden Ridge City, Texas. [Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/159103

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Pennsylvania

12. Lu, Yichen. Multiscale Modelling Of Platelet Aggregation.

Degree: 2017, University of Pennsylvania

 During clotting under flow, platelets bind and activate on collagen and release autocrinic factors such ADP and thromboxane, while tissue factor (TF) on the damaged… (more)

Subjects/Keywords: Multiscale Modelling; Neural Network; Platelet Aggregation; Stenosis; Thrombosis; Chemical Engineering

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APA (6th Edition):

Lu, Y. (2017). Multiscale Modelling Of Platelet Aggregation. (Thesis). University of Pennsylvania. Retrieved from https://repository.upenn.edu/edissertations/2452

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lu, Yichen. “Multiscale Modelling Of Platelet Aggregation.” 2017. Thesis, University of Pennsylvania. Accessed July 15, 2020. https://repository.upenn.edu/edissertations/2452.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lu, Yichen. “Multiscale Modelling Of Platelet Aggregation.” 2017. Web. 15 Jul 2020.

Vancouver:

Lu Y. Multiscale Modelling Of Platelet Aggregation. [Internet] [Thesis]. University of Pennsylvania; 2017. [cited 2020 Jul 15]. Available from: https://repository.upenn.edu/edissertations/2452.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lu Y. Multiscale Modelling Of Platelet Aggregation. [Thesis]. University of Pennsylvania; 2017. Available from: https://repository.upenn.edu/edissertations/2452

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Queensland University of Technology

13. Larue, Gregoire Sébastien. Predicting effects of monotony on driver’s vigilance.

Degree: 2010, Queensland University of Technology

 Monotony has been identified as a contributing factor to road crashes. Drivers’ ability to react to unpredictable events deteriorates when exposed to highly predictable and… (more)

Subjects/Keywords: impaired driving; monotony; vigilance; prediction; Bayesian modelling; neural networks

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APA (6th Edition):

Larue, G. S. (2010). Predicting effects of monotony on driver’s vigilance. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/37304/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Larue, Gregoire Sébastien. “Predicting effects of monotony on driver’s vigilance.” 2010. Thesis, Queensland University of Technology. Accessed July 15, 2020. https://eprints.qut.edu.au/37304/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Larue, Gregoire Sébastien. “Predicting effects of monotony on driver’s vigilance.” 2010. Web. 15 Jul 2020.

Vancouver:

Larue GS. Predicting effects of monotony on driver’s vigilance. [Internet] [Thesis]. Queensland University of Technology; 2010. [cited 2020 Jul 15]. Available from: https://eprints.qut.edu.au/37304/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Larue GS. Predicting effects of monotony on driver’s vigilance. [Thesis]. Queensland University of Technology; 2010. Available from: https://eprints.qut.edu.au/37304/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Waterloo

14. Rasmussen, Daniel. Hierarchical reinforcement learning in a biologically plausible neural architecture.

Degree: 2014, University of Waterloo

 Humans and other animals have an impressive ability to quickly adapt to unfamiliar environments, with only minimal feedback. Computational models have been able to provide… (more)

Subjects/Keywords: neural modelling; reinforcement learning; hierarchical reinforcement learning; computational neuroscience

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APA (6th Edition):

Rasmussen, D. (2014). Hierarchical reinforcement learning in a biologically plausible neural architecture. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/8943

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Rasmussen, Daniel. “Hierarchical reinforcement learning in a biologically plausible neural architecture.” 2014. Thesis, University of Waterloo. Accessed July 15, 2020. http://hdl.handle.net/10012/8943.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Rasmussen, Daniel. “Hierarchical reinforcement learning in a biologically plausible neural architecture.” 2014. Web. 15 Jul 2020.

Vancouver:

Rasmussen D. Hierarchical reinforcement learning in a biologically plausible neural architecture. [Internet] [Thesis]. University of Waterloo; 2014. [cited 2020 Jul 15]. Available from: http://hdl.handle.net/10012/8943.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rasmussen D. Hierarchical reinforcement learning in a biologically plausible neural architecture. [Thesis]. University of Waterloo; 2014. Available from: http://hdl.handle.net/10012/8943

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Waterloo

15. Aubin, Sean. Learning and Leveraging Neural Memories.

Degree: 2018, University of Waterloo

 Learning in the Neural Engineering Framework (NEF) and the Semantic Pointer Architecture (SPA) has been recently extended beyond the supervised Prescribed Error Sensitivity (PES) to… (more)

Subjects/Keywords: neural-networks; learning; memory; theoretical-neuroscience; cognitive-modelling

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APA (6th Edition):

Aubin, S. (2018). Learning and Leveraging Neural Memories. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/13940

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Aubin, Sean. “Learning and Leveraging Neural Memories.” 2018. Thesis, University of Waterloo. Accessed July 15, 2020. http://hdl.handle.net/10012/13940.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Aubin, Sean. “Learning and Leveraging Neural Memories.” 2018. Web. 15 Jul 2020.

Vancouver:

Aubin S. Learning and Leveraging Neural Memories. [Internet] [Thesis]. University of Waterloo; 2018. [cited 2020 Jul 15]. Available from: http://hdl.handle.net/10012/13940.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Aubin S. Learning and Leveraging Neural Memories. [Thesis]. University of Waterloo; 2018. Available from: http://hdl.handle.net/10012/13940

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Sydney

16. Chen, Zhe. Augmented Context Modelling Neural Networks .

Degree: 2019, University of Sydney

 Contexts provide beneficial information for machine-based image understanding tasks. However, existing context modelling methods still cannot fully exploit contexts, especially for object recognition and detection.… (more)

Subjects/Keywords: Deep Learning; Context Modelling; Deep Neural Network; Computer Vision; Object Detection

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chen, Z. (2019). Augmented Context Modelling Neural Networks . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/20654

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chen, Zhe. “Augmented Context Modelling Neural Networks .” 2019. Thesis, University of Sydney. Accessed July 15, 2020. http://hdl.handle.net/2123/20654.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chen, Zhe. “Augmented Context Modelling Neural Networks .” 2019. Web. 15 Jul 2020.

Vancouver:

Chen Z. Augmented Context Modelling Neural Networks . [Internet] [Thesis]. University of Sydney; 2019. [cited 2020 Jul 15]. Available from: http://hdl.handle.net/2123/20654.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chen Z. Augmented Context Modelling Neural Networks . [Thesis]. University of Sydney; 2019. Available from: http://hdl.handle.net/2123/20654

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Ontario Institute of Technology

17. Coles, Rory. Using machine learning methods to aid scientists in laboratory environments.

Degree: 2019, University of Ontario Institute of Technology

 As machine learning gains popularity as a scientific instrument, we look to create methods to implement it as a laboratory tool for researchers. In the… (more)

Subjects/Keywords: Machine learning; Deep learning; Neural networks; Reinforcement learning; Bayesian Modelling

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APA (6th Edition):

Coles, R. (2019). Using machine learning methods to aid scientists in laboratory environments. (Thesis). University of Ontario Institute of Technology. Retrieved from http://hdl.handle.net/10155/1137

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Coles, Rory. “Using machine learning methods to aid scientists in laboratory environments.” 2019. Thesis, University of Ontario Institute of Technology. Accessed July 15, 2020. http://hdl.handle.net/10155/1137.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Coles, Rory. “Using machine learning methods to aid scientists in laboratory environments.” 2019. Web. 15 Jul 2020.

Vancouver:

Coles R. Using machine learning methods to aid scientists in laboratory environments. [Internet] [Thesis]. University of Ontario Institute of Technology; 2019. [cited 2020 Jul 15]. Available from: http://hdl.handle.net/10155/1137.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Coles R. Using machine learning methods to aid scientists in laboratory environments. [Thesis]. University of Ontario Institute of Technology; 2019. Available from: http://hdl.handle.net/10155/1137

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Melbourne

18. ERFANIAN SAEEDI, NAFISE. Neural network models of pitch perception in normal and implanted ears.

Degree: 2015, University of Melbourne

 Pitch is the perceptual correlate of sound frequency and is important for using speech prosody, understanding tonal languages, and music appreciation. According to pitch perception… (more)

Subjects/Keywords: auditory perception; pitch; computational modelling; cochlear implants; neural networks

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

ERFANIAN SAEEDI, N. (2015). Neural network models of pitch perception in normal and implanted ears. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/55470

Chicago Manual of Style (16th Edition):

ERFANIAN SAEEDI, NAFISE. “Neural network models of pitch perception in normal and implanted ears.” 2015. Doctoral Dissertation, University of Melbourne. Accessed July 15, 2020. http://hdl.handle.net/11343/55470.

MLA Handbook (7th Edition):

ERFANIAN SAEEDI, NAFISE. “Neural network models of pitch perception in normal and implanted ears.” 2015. Web. 15 Jul 2020.

Vancouver:

ERFANIAN SAEEDI N. Neural network models of pitch perception in normal and implanted ears. [Internet] [Doctoral dissertation]. University of Melbourne; 2015. [cited 2020 Jul 15]. Available from: http://hdl.handle.net/11343/55470.

Council of Science Editors:

ERFANIAN SAEEDI N. Neural network models of pitch perception in normal and implanted ears. [Doctoral Dissertation]. University of Melbourne; 2015. Available from: http://hdl.handle.net/11343/55470


University of Melbourne

19. Karoly, Philippa Jane. Epileptic seizures: mechanisms and forecasting.

Degree: 2018, University of Melbourne

 Seizure forecasting, like weather forecasting, was once considered the domain of charlatans and purveyors of science fiction. However, neuroscience has now advanced to the point… (more)

Subjects/Keywords: epilepsy; seizures; forecasting; circadian rhythms; prediction; neural modelling

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Karoly, P. J. (2018). Epileptic seizures: mechanisms and forecasting. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/219979

Chicago Manual of Style (16th Edition):

Karoly, Philippa Jane. “Epileptic seizures: mechanisms and forecasting.” 2018. Doctoral Dissertation, University of Melbourne. Accessed July 15, 2020. http://hdl.handle.net/11343/219979.

MLA Handbook (7th Edition):

Karoly, Philippa Jane. “Epileptic seizures: mechanisms and forecasting.” 2018. Web. 15 Jul 2020.

Vancouver:

Karoly PJ. Epileptic seizures: mechanisms and forecasting. [Internet] [Doctoral dissertation]. University of Melbourne; 2018. [cited 2020 Jul 15]. Available from: http://hdl.handle.net/11343/219979.

Council of Science Editors:

Karoly PJ. Epileptic seizures: mechanisms and forecasting. [Doctoral Dissertation]. University of Melbourne; 2018. Available from: http://hdl.handle.net/11343/219979

20. Alderson, Thomas. Dynamical complexity of large-scale neurocognitive networks in healthy and pathological brain states.

Degree: PhD, 2019, Ulster University

 Contemporary theories suggest that the brain operates in a metastable regime of dynamics in which the tendencies for local areas to integrate and segregate is… (more)

Subjects/Keywords: Metastability; Resting state; fMRI; DTI; Neural dynamics; Whole-brain computer modelling

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Alderson, T. (2019). Dynamical complexity of large-scale neurocognitive networks in healthy and pathological brain states. (Doctoral Dissertation). Ulster University. Retrieved from https://ulster.pure.elsevier.com/en/studentTheses/0dc9b7a4-2044-4e0d-af8c-229e893450ca ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.793768

Chicago Manual of Style (16th Edition):

Alderson, Thomas. “Dynamical complexity of large-scale neurocognitive networks in healthy and pathological brain states.” 2019. Doctoral Dissertation, Ulster University. Accessed July 15, 2020. https://ulster.pure.elsevier.com/en/studentTheses/0dc9b7a4-2044-4e0d-af8c-229e893450ca ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.793768.

MLA Handbook (7th Edition):

Alderson, Thomas. “Dynamical complexity of large-scale neurocognitive networks in healthy and pathological brain states.” 2019. Web. 15 Jul 2020.

Vancouver:

Alderson T. Dynamical complexity of large-scale neurocognitive networks in healthy and pathological brain states. [Internet] [Doctoral dissertation]. Ulster University; 2019. [cited 2020 Jul 15]. Available from: https://ulster.pure.elsevier.com/en/studentTheses/0dc9b7a4-2044-4e0d-af8c-229e893450ca ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.793768.

Council of Science Editors:

Alderson T. Dynamical complexity of large-scale neurocognitive networks in healthy and pathological brain states. [Doctoral Dissertation]. Ulster University; 2019. Available from: https://ulster.pure.elsevier.com/en/studentTheses/0dc9b7a4-2044-4e0d-af8c-229e893450ca ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.793768


University of Victoria

21. Peterson, Cole. Generating rhyming poetry using LSTM recurrent neural networks.

Degree: Department of Computer Science, 2019, University of Victoria

 Current approaches to generating rhyming English poetry with a neural network involve constraining output to enforce the condition of rhyme. We investigate whether this approach… (more)

Subjects/Keywords: machine learning; artificial intelligence; poetry; computer generated poetry; neural networks; LSTM; recurrent neural network; RNN; rhyme; language modelling; sequence modelling; neural network; algorithmic art; creative coding

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Peterson, C. (2019). Generating rhyming poetry using LSTM recurrent neural networks. (Masters Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/10801

Chicago Manual of Style (16th Edition):

Peterson, Cole. “Generating rhyming poetry using LSTM recurrent neural networks.” 2019. Masters Thesis, University of Victoria. Accessed July 15, 2020. http://hdl.handle.net/1828/10801.

MLA Handbook (7th Edition):

Peterson, Cole. “Generating rhyming poetry using LSTM recurrent neural networks.” 2019. Web. 15 Jul 2020.

Vancouver:

Peterson C. Generating rhyming poetry using LSTM recurrent neural networks. [Internet] [Masters thesis]. University of Victoria; 2019. [cited 2020 Jul 15]. Available from: http://hdl.handle.net/1828/10801.

Council of Science Editors:

Peterson C. Generating rhyming poetry using LSTM recurrent neural networks. [Masters Thesis]. University of Victoria; 2019. Available from: http://hdl.handle.net/1828/10801

22. PILLA, FRANCESCO. A GIS model for personal exposure to PM10 for Dublin commuters.

Degree: 2012, Trinity College Dublin

 The project has focused on a number of scientific issues in the development of the GIS air quality model for the Dublin Area and its… (more)

Subjects/Keywords: GIS; Smart & Sustainable Planet; ARTIFICIAL NEURAL NETWORKS; Air quality modelling; Environmental Impacts of Transport; Environmental engineering; Environmental systems modelling; GEOGRAPHIC INFORMATION SYSTEM (GIS); STOCHASTIC MODELLING; Spatial Modelling

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

PILLA, F. (2012). A GIS model for personal exposure to PM10 for Dublin commuters. (Thesis). Trinity College Dublin. Retrieved from http://hdl.handle.net/2262/70885

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

PILLA, FRANCESCO. “A GIS model for personal exposure to PM10 for Dublin commuters.” 2012. Thesis, Trinity College Dublin. Accessed July 15, 2020. http://hdl.handle.net/2262/70885.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

PILLA, FRANCESCO. “A GIS model for personal exposure to PM10 for Dublin commuters.” 2012. Web. 15 Jul 2020.

Vancouver:

PILLA F. A GIS model for personal exposure to PM10 for Dublin commuters. [Internet] [Thesis]. Trinity College Dublin; 2012. [cited 2020 Jul 15]. Available from: http://hdl.handle.net/2262/70885.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

PILLA F. A GIS model for personal exposure to PM10 for Dublin commuters. [Thesis]. Trinity College Dublin; 2012. Available from: http://hdl.handle.net/2262/70885

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Cranfield University

23. Wang, Hua. Numerical and artificial neural network modelling of friction stir welding.

Degree: PhD, 2011, Cranfield University

 This thesis is based on the PhD work of investigating the Friction Stir Welding process (FSW) with numerical and Artificial Neural Network (ANN) modelling methods.… (more)

Subjects/Keywords: modelling friction stir welding; artificial neural network; constitutive behaviour of aluminium alloys; heat transfer numerical modelling; computational fluid dynamics; CFD

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wang, H. (2011). Numerical and artificial neural network modelling of friction stir welding. (Doctoral Dissertation). Cranfield University. Retrieved from http://dspace.lib.cranfield.ac.uk/handle/1826/9195

Chicago Manual of Style (16th Edition):

Wang, Hua. “Numerical and artificial neural network modelling of friction stir welding.” 2011. Doctoral Dissertation, Cranfield University. Accessed July 15, 2020. http://dspace.lib.cranfield.ac.uk/handle/1826/9195.

MLA Handbook (7th Edition):

Wang, Hua. “Numerical and artificial neural network modelling of friction stir welding.” 2011. Web. 15 Jul 2020.

Vancouver:

Wang H. Numerical and artificial neural network modelling of friction stir welding. [Internet] [Doctoral dissertation]. Cranfield University; 2011. [cited 2020 Jul 15]. Available from: http://dspace.lib.cranfield.ac.uk/handle/1826/9195.

Council of Science Editors:

Wang H. Numerical and artificial neural network modelling of friction stir welding. [Doctoral Dissertation]. Cranfield University; 2011. Available from: http://dspace.lib.cranfield.ac.uk/handle/1826/9195


Cranfield University

24. Wang, Hua. Numerical and artificial neural network modelling of friction stir welding.

Degree: PhD, 2011, Cranfield University

 This thesis is based on the PhD work of investigating the Friction Stir Welding process (FSW) with numerical and Artificial Neural Network (ANN) modelling methods.… (more)

Subjects/Keywords: 671.5; modelling friction stir welding; artificial neural network; constitutive behaviour of aluminium alloys; heat transfer numerical modelling; computational fluid dynamics; CFD

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wang, H. (2011). Numerical and artificial neural network modelling of friction stir welding. (Doctoral Dissertation). Cranfield University. Retrieved from http://dspace.lib.cranfield.ac.uk/handle/1826/9195 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.650128

Chicago Manual of Style (16th Edition):

Wang, Hua. “Numerical and artificial neural network modelling of friction stir welding.” 2011. Doctoral Dissertation, Cranfield University. Accessed July 15, 2020. http://dspace.lib.cranfield.ac.uk/handle/1826/9195 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.650128.

MLA Handbook (7th Edition):

Wang, Hua. “Numerical and artificial neural network modelling of friction stir welding.” 2011. Web. 15 Jul 2020.

Vancouver:

Wang H. Numerical and artificial neural network modelling of friction stir welding. [Internet] [Doctoral dissertation]. Cranfield University; 2011. [cited 2020 Jul 15]. Available from: http://dspace.lib.cranfield.ac.uk/handle/1826/9195 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.650128.

Council of Science Editors:

Wang H. Numerical and artificial neural network modelling of friction stir welding. [Doctoral Dissertation]. Cranfield University; 2011. Available from: http://dspace.lib.cranfield.ac.uk/handle/1826/9195 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.650128


University of Waterloo

25. Taneja, Kunal. Machine Learning Based Data Driven Modelling of Time Series of Power Plant Data.

Degree: 2020, University of Waterloo

 Accurate modeling and simulation of data collected from a power plant system are important factors in the strategic planning and maintenance of the unit. Several… (more)

Subjects/Keywords: machine learning; data driven modelling; time series forecasting; neural networks; finite state machine; time series modelling; Machine learning; Neural networks (Computer science); Time-series analysis

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Taneja, K. (2020). Machine Learning Based Data Driven Modelling of Time Series of Power Plant Data. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/15792

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Taneja, Kunal. “Machine Learning Based Data Driven Modelling of Time Series of Power Plant Data.” 2020. Thesis, University of Waterloo. Accessed July 15, 2020. http://hdl.handle.net/10012/15792.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Taneja, Kunal. “Machine Learning Based Data Driven Modelling of Time Series of Power Plant Data.” 2020. Web. 15 Jul 2020.

Vancouver:

Taneja K. Machine Learning Based Data Driven Modelling of Time Series of Power Plant Data. [Internet] [Thesis]. University of Waterloo; 2020. [cited 2020 Jul 15]. Available from: http://hdl.handle.net/10012/15792.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Taneja K. Machine Learning Based Data Driven Modelling of Time Series of Power Plant Data. [Thesis]. University of Waterloo; 2020. Available from: http://hdl.handle.net/10012/15792

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

26. Darras, Thomas. Prévision de crues rapides par apprentissage statistique : Flash flood forecasting by statistical learning.

Degree: Docteur es, Hydrogéologie, 2015, Montpellier

Le pourtour du bassin méditerranéen subit fréquemment des épisodes de pluie diluvienne à l’origine de crues rapides pouvant provoquer de nombreuses victimes et des dégâts… (more)

Subjects/Keywords: Crues rapides; Modélisation hydrologique; Réseaux de neurones; Flash floods; Hydrological modelling; Neural network

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Darras, T. (2015). Prévision de crues rapides par apprentissage statistique : Flash flood forecasting by statistical learning. (Doctoral Dissertation). Montpellier. Retrieved from http://www.theses.fr/2015MONTS100

Chicago Manual of Style (16th Edition):

Darras, Thomas. “Prévision de crues rapides par apprentissage statistique : Flash flood forecasting by statistical learning.” 2015. Doctoral Dissertation, Montpellier. Accessed July 15, 2020. http://www.theses.fr/2015MONTS100.

MLA Handbook (7th Edition):

Darras, Thomas. “Prévision de crues rapides par apprentissage statistique : Flash flood forecasting by statistical learning.” 2015. Web. 15 Jul 2020.

Vancouver:

Darras T. Prévision de crues rapides par apprentissage statistique : Flash flood forecasting by statistical learning. [Internet] [Doctoral dissertation]. Montpellier; 2015. [cited 2020 Jul 15]. Available from: http://www.theses.fr/2015MONTS100.

Council of Science Editors:

Darras T. Prévision de crues rapides par apprentissage statistique : Flash flood forecasting by statistical learning. [Doctoral Dissertation]. Montpellier; 2015. Available from: http://www.theses.fr/2015MONTS100


University of Alberta

27. Dupuis, Brian A. The Cognitive Science of Reorientation.

Degree: MS, Department of Psychology, 2012, University of Alberta

 This work stands as an example of “synthetic methodology” in psychological research. Synthetic methodology involves building a model, seeing what it can and cannot do… (more)

Subjects/Keywords: Neural Networks; Cognitive Science; Cognitive Modelling; Comparative Cognition; Spatial Learning; Reorientation; Synthetic Psychology

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Dupuis, B. A. (2012). The Cognitive Science of Reorientation. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/h128nf06h

Chicago Manual of Style (16th Edition):

Dupuis, Brian A. “The Cognitive Science of Reorientation.” 2012. Masters Thesis, University of Alberta. Accessed July 15, 2020. https://era.library.ualberta.ca/files/h128nf06h.

MLA Handbook (7th Edition):

Dupuis, Brian A. “The Cognitive Science of Reorientation.” 2012. Web. 15 Jul 2020.

Vancouver:

Dupuis BA. The Cognitive Science of Reorientation. [Internet] [Masters thesis]. University of Alberta; 2012. [cited 2020 Jul 15]. Available from: https://era.library.ualberta.ca/files/h128nf06h.

Council of Science Editors:

Dupuis BA. The Cognitive Science of Reorientation. [Masters Thesis]. University of Alberta; 2012. Available from: https://era.library.ualberta.ca/files/h128nf06h


Université Montpellier II

28. Kong A SIou, Line. Modélisation des crues de bassins karstiques par réseaux de neurones. Cas du bassin du Lez (Hérault) : Karst flood modeling by artificial neural networks. Case study on the Lez catchment (Hérault, southern France).

Degree: Docteur es, Eaux continentales et Société, 2011, Université Montpellier II

Les karsts sont l'une des formations aquifères les plus présentes au monde. Exploités, ils fournissent de l'eau potable pour près de 25% de la population… (more)

Subjects/Keywords: Karst; Modélisation hydrodynamique; Réseaux de neurones; Lez; Crue; Karst; Hydroynamic modelling; Neural networks; Lez; Flood

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kong A SIou, L. (2011). Modélisation des crues de bassins karstiques par réseaux de neurones. Cas du bassin du Lez (Hérault) : Karst flood modeling by artificial neural networks. Case study on the Lez catchment (Hérault, southern France). (Doctoral Dissertation). Université Montpellier II. Retrieved from http://www.theses.fr/2011MON20070

Chicago Manual of Style (16th Edition):

Kong A SIou, Line. “Modélisation des crues de bassins karstiques par réseaux de neurones. Cas du bassin du Lez (Hérault) : Karst flood modeling by artificial neural networks. Case study on the Lez catchment (Hérault, southern France).” 2011. Doctoral Dissertation, Université Montpellier II. Accessed July 15, 2020. http://www.theses.fr/2011MON20070.

MLA Handbook (7th Edition):

Kong A SIou, Line. “Modélisation des crues de bassins karstiques par réseaux de neurones. Cas du bassin du Lez (Hérault) : Karst flood modeling by artificial neural networks. Case study on the Lez catchment (Hérault, southern France).” 2011. Web. 15 Jul 2020.

Vancouver:

Kong A SIou L. Modélisation des crues de bassins karstiques par réseaux de neurones. Cas du bassin du Lez (Hérault) : Karst flood modeling by artificial neural networks. Case study on the Lez catchment (Hérault, southern France). [Internet] [Doctoral dissertation]. Université Montpellier II; 2011. [cited 2020 Jul 15]. Available from: http://www.theses.fr/2011MON20070.

Council of Science Editors:

Kong A SIou L. Modélisation des crues de bassins karstiques par réseaux de neurones. Cas du bassin du Lez (Hérault) : Karst flood modeling by artificial neural networks. Case study on the Lez catchment (Hérault, southern France). [Doctoral Dissertation]. Université Montpellier II; 2011. Available from: http://www.theses.fr/2011MON20070

29. Silva, Ricardo José Cardoso da. Modelação de hélices utilizando “Surrogate Modeling”.

Degree: 2015, RCAAP

No âmbito do projeto ICARUS pretende-se desenvolver um veículo autónomo de salvamento marítimo. O objetivo é que este constitua o primeiro meio de socorro a… (more)

Subjects/Keywords: Redes Neuronais; Hélice; Modelação; Otimização; Surrogate Modeling; Neural Networks; Propeller; Modelling; Optimization; Surrogate Modeling

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Silva, R. J. C. d. (2015). Modelação de hélices utilizando “Surrogate Modeling”. (Thesis). RCAAP. Retrieved from https://www.rcaap.pt/detail.jsp?id=oai:comum.rcaap.pt:10400.26/11069

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Silva, Ricardo José Cardoso da. “Modelação de hélices utilizando “Surrogate Modeling”.” 2015. Thesis, RCAAP. Accessed July 15, 2020. https://www.rcaap.pt/detail.jsp?id=oai:comum.rcaap.pt:10400.26/11069.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Silva, Ricardo José Cardoso da. “Modelação de hélices utilizando “Surrogate Modeling”.” 2015. Web. 15 Jul 2020.

Vancouver:

Silva RJCd. Modelação de hélices utilizando “Surrogate Modeling”. [Internet] [Thesis]. RCAAP; 2015. [cited 2020 Jul 15]. Available from: https://www.rcaap.pt/detail.jsp?id=oai:comum.rcaap.pt:10400.26/11069.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Silva RJCd. Modelação de hélices utilizando “Surrogate Modeling”. [Thesis]. RCAAP; 2015. Available from: https://www.rcaap.pt/detail.jsp?id=oai:comum.rcaap.pt:10400.26/11069

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Univerzitet u Beogradu

30. Jovanović, Ivana M. Model inteligentnog sistema adaptivnog upravljanja procesom prerade rude.

Degree: Rudarsko-geološki fakultet, 2016, Univerzitet u Beogradu

RUDARSKO INŽENJERSTVO - RAČUNARSTVO I SISTEMSKO INŽENJERSTVO / MINING ENGINEERING - COMPUTING AND SYSTEM ENGINEERING

U oblasti procesa prerade rude, flotacijska koncentracija predstavlja jednu od… (more)

Subjects/Keywords: flotation concentration; modelling; control; intelligent system; soft computing; fuzzy logic; artificial neural networks

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APA (6th Edition):

Jovanović, I. M. (2016). Model inteligentnog sistema adaptivnog upravljanja procesom prerade rude. (Thesis). Univerzitet u Beogradu. Retrieved from https://fedorabg.bg.ac.rs/fedora/get/o:11597/bdef:Content/get

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Jovanović, Ivana M. “Model inteligentnog sistema adaptivnog upravljanja procesom prerade rude.” 2016. Thesis, Univerzitet u Beogradu. Accessed July 15, 2020. https://fedorabg.bg.ac.rs/fedora/get/o:11597/bdef:Content/get.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Jovanović, Ivana M. “Model inteligentnog sistema adaptivnog upravljanja procesom prerade rude.” 2016. Web. 15 Jul 2020.

Vancouver:

Jovanović IM. Model inteligentnog sistema adaptivnog upravljanja procesom prerade rude. [Internet] [Thesis]. Univerzitet u Beogradu; 2016. [cited 2020 Jul 15]. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:11597/bdef:Content/get.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jovanović IM. Model inteligentnog sistema adaptivnog upravljanja procesom prerade rude. [Thesis]. Univerzitet u Beogradu; 2016. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:11597/bdef:Content/get

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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