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You searched for subject:(Phoneme Perception Neural Networks Pattern Recognition). Showing records 1 – 30 of 49991 total matches.

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University of New Mexico

1. Hjelm, Rex Devon. A Temporal Fuzzy-ART Neural Network Architecture as a Model of Phoneme Perception.

Degree: Department of Linguistics, 2011, University of New Mexico

 This paper explores the applicability of Adaptive Resistance Theory- (ART-) type neural networks for finding and encoding linguistic structures, specifically those corresponding to acoustic patterns… (more)

Subjects/Keywords: Phoneme Perception Neural Networks Pattern Recognition

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APA (6th Edition):

Hjelm, R. D. (2011). A Temporal Fuzzy-ART Neural Network Architecture as a Model of Phoneme Perception. (Masters Thesis). University of New Mexico. Retrieved from https://digitalrepository.unm.edu/ling_etds/17

Chicago Manual of Style (16th Edition):

Hjelm, Rex Devon. “A Temporal Fuzzy-ART Neural Network Architecture as a Model of Phoneme Perception.” 2011. Masters Thesis, University of New Mexico. Accessed August 24, 2019. https://digitalrepository.unm.edu/ling_etds/17.

MLA Handbook (7th Edition):

Hjelm, Rex Devon. “A Temporal Fuzzy-ART Neural Network Architecture as a Model of Phoneme Perception.” 2011. Web. 24 Aug 2019.

Vancouver:

Hjelm RD. A Temporal Fuzzy-ART Neural Network Architecture as a Model of Phoneme Perception. [Internet] [Masters thesis]. University of New Mexico; 2011. [cited 2019 Aug 24]. Available from: https://digitalrepository.unm.edu/ling_etds/17.

Council of Science Editors:

Hjelm RD. A Temporal Fuzzy-ART Neural Network Architecture as a Model of Phoneme Perception. [Masters Thesis]. University of New Mexico; 2011. Available from: https://digitalrepository.unm.edu/ling_etds/17


University of Johannesburg

2. Oerder, Stacy-Ann. An investigation into the parameters influencing neural network based facial recognition.

Degree: 2012, University of Johannesburg

D.Ing.

This thesis deals with an investigation into facial recognition and some variables that influence the performance of such a system. Firstly there is an… (more)

Subjects/Keywords: Face perception - Data processing; Neural networks (Computer science); Image processing - Digital techniques; Pattern recognition systems

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APA (6th Edition):

Oerder, S. (2012). An investigation into the parameters influencing neural network based facial recognition. (Thesis). University of Johannesburg. Retrieved from http://hdl.handle.net/10210/7007

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):

Oerder, Stacy-Ann. “An investigation into the parameters influencing neural network based facial recognition.” 2012. Thesis, University of Johannesburg. Accessed August 24, 2019. http://hdl.handle.net/10210/7007.

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

MLA Handbook (7th Edition):

Oerder, Stacy-Ann. “An investigation into the parameters influencing neural network based facial recognition.” 2012. Web. 24 Aug 2019.

Vancouver:

Oerder S. An investigation into the parameters influencing neural network based facial recognition. [Internet] [Thesis]. University of Johannesburg; 2012. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/10210/7007.

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

Council of Science Editors:

Oerder S. An investigation into the parameters influencing neural network based facial recognition. [Thesis]. University of Johannesburg; 2012. Available from: http://hdl.handle.net/10210/7007

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


Wright State University

3. Seleem, Tarek A. Classification of Microarray Data to Predict Toxic Exposure.

Degree: MS, Computer Science, 2007, Wright State University

 Seleem, Tarek A. M.S., Department of Computer Science, Wright State University, 2007. Classification of Microarray Data to Predict Toxic Exposure. This thesis presents a software… (more)

Subjects/Keywords: Pattern Recognition; Neural Networks; Classification of microarray

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APA (6th Edition):

Seleem, T. A. (2007). Classification of Microarray Data to Predict Toxic Exposure. (Masters Thesis). Wright State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=wright1190006769

Chicago Manual of Style (16th Edition):

Seleem, Tarek A. “Classification of Microarray Data to Predict Toxic Exposure.” 2007. Masters Thesis, Wright State University. Accessed August 24, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=wright1190006769.

MLA Handbook (7th Edition):

Seleem, Tarek A. “Classification of Microarray Data to Predict Toxic Exposure.” 2007. Web. 24 Aug 2019.

Vancouver:

Seleem TA. Classification of Microarray Data to Predict Toxic Exposure. [Internet] [Masters thesis]. Wright State University; 2007. [cited 2019 Aug 24]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1190006769.

Council of Science Editors:

Seleem TA. Classification of Microarray Data to Predict Toxic Exposure. [Masters Thesis]. Wright State University; 2007. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1190006769


Brno University of Technology

4. Uchytil, Albert. Recognition of Audio Events Using Deep Neural Networks .

Degree: 2016, Brno University of Technology

 Zvuk je nositelem velkého množství informací. S rostoucí technickou úrovní společnosti se zvyšuje množství zvukových dat. Čím více dat máme, tím hůře se člověku zpracovávají.… (more)

Subjects/Keywords: Rozpoznávání zvuku; Klasifikace audia; Neuronové sítě; Klasifikace fonémů; Sound recognition; Audio classification; Neural Networks; Phoneme classification

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APA (6th Edition):

Uchytil, A. (2016). Recognition of Audio Events Using Deep Neural Networks . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/62158

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):

Uchytil, Albert. “Recognition of Audio Events Using Deep Neural Networks .” 2016. Thesis, Brno University of Technology. Accessed August 24, 2019. http://hdl.handle.net/11012/62158.

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

MLA Handbook (7th Edition):

Uchytil, Albert. “Recognition of Audio Events Using Deep Neural Networks .” 2016. Web. 24 Aug 2019.

Vancouver:

Uchytil A. Recognition of Audio Events Using Deep Neural Networks . [Internet] [Thesis]. Brno University of Technology; 2016. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/11012/62158.

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

Council of Science Editors:

Uchytil A. Recognition of Audio Events Using Deep Neural Networks . [Thesis]. Brno University of Technology; 2016. Available from: http://hdl.handle.net/11012/62158

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


Texas A&M University

5. Li, Youjie. Energy Efficient Spiking Neuromorphic Architectures for Pattern Recognition.

Degree: MS, Computer Engineering, 2016, Texas A&M University

 There is a growing concern over reliability, power consumption, and performance of traditional Von Neumann machines, especially when dealing with complex tasks like pattern recognition.… (more)

Subjects/Keywords: Neuromorphic VLSI; spiking neural networks; approximate computing; pattern recognition

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APA (6th Edition):

Li, Y. (2016). Energy Efficient Spiking Neuromorphic Architectures for Pattern Recognition. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/156946

Chicago Manual of Style (16th Edition):

Li, Youjie. “Energy Efficient Spiking Neuromorphic Architectures for Pattern Recognition.” 2016. Masters Thesis, Texas A&M University. Accessed August 24, 2019. http://hdl.handle.net/1969.1/156946.

MLA Handbook (7th Edition):

Li, Youjie. “Energy Efficient Spiking Neuromorphic Architectures for Pattern Recognition.” 2016. Web. 24 Aug 2019.

Vancouver:

Li Y. Energy Efficient Spiking Neuromorphic Architectures for Pattern Recognition. [Internet] [Masters thesis]. Texas A&M University; 2016. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/1969.1/156946.

Council of Science Editors:

Li Y. Energy Efficient Spiking Neuromorphic Architectures for Pattern Recognition. [Masters Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/156946


Portland State University

6. Dickerson, Naomi Lynn. Refining Bounding-Box Regression for Object Localization.

Degree: MS(M.S.) in Computer Science, Computer Science, 2017, Portland State University

  For the last several years, convolutional neural network (CNN) based object detection systems have used a regression technique to predict improved object bounding boxes… (more)

Subjects/Keywords: Neural networks (Computer science); Pattern recognition systems; Computer vision; Computer Sciences

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APA (6th Edition):

Dickerson, N. L. (2017). Refining Bounding-Box Regression for Object Localization. (Masters Thesis). Portland State University. Retrieved from https://pdxscholar.library.pdx.edu/open_access_etds/3940

Chicago Manual of Style (16th Edition):

Dickerson, Naomi Lynn. “Refining Bounding-Box Regression for Object Localization.” 2017. Masters Thesis, Portland State University. Accessed August 24, 2019. https://pdxscholar.library.pdx.edu/open_access_etds/3940.

MLA Handbook (7th Edition):

Dickerson, Naomi Lynn. “Refining Bounding-Box Regression for Object Localization.” 2017. Web. 24 Aug 2019.

Vancouver:

Dickerson NL. Refining Bounding-Box Regression for Object Localization. [Internet] [Masters thesis]. Portland State University; 2017. [cited 2019 Aug 24]. Available from: https://pdxscholar.library.pdx.edu/open_access_etds/3940.

Council of Science Editors:

Dickerson NL. Refining Bounding-Box Regression for Object Localization. [Masters Thesis]. Portland State University; 2017. Available from: https://pdxscholar.library.pdx.edu/open_access_etds/3940


Hong Kong University of Science and Technology

7. Li, Shaohua. A deep neural network solution towards mobile robot perception and exploration.

Degree: 2016, Hong Kong University of Science and Technology

 The perception and exploration problems are two of the fundamental problems of mobile robots. Perception is a preliminary step and solves recognition problems such as… (more)

Subjects/Keywords: Mobile robots; Neural networks (Computer science); Pattern recognition systems; Perceptual learning

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APA (6th Edition):

Li, S. (2016). A deep neural network solution towards mobile robot perception and exploration. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1584778 ; http://repository.ust.hk/ir/bitstream/1783.1-80403/1/th_redirect.html

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):

Li, Shaohua. “A deep neural network solution towards mobile robot perception and exploration.” 2016. Thesis, Hong Kong University of Science and Technology. Accessed August 24, 2019. https://doi.org/10.14711/thesis-b1584778 ; http://repository.ust.hk/ir/bitstream/1783.1-80403/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Li, Shaohua. “A deep neural network solution towards mobile robot perception and exploration.” 2016. Web. 24 Aug 2019.

Vancouver:

Li S. A deep neural network solution towards mobile robot perception and exploration. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2016. [cited 2019 Aug 24]. Available from: https://doi.org/10.14711/thesis-b1584778 ; http://repository.ust.hk/ir/bitstream/1783.1-80403/1/th_redirect.html.

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

Council of Science Editors:

Li S. A deep neural network solution towards mobile robot perception and exploration. [Thesis]. Hong Kong University of Science and Technology; 2016. Available from: https://doi.org/10.14711/thesis-b1584778 ; http://repository.ust.hk/ir/bitstream/1783.1-80403/1/th_redirect.html

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


Georgia Southern University

8. Mamun, Abdullah Al. Multiclass Classification of Risk Factors for Cervical Cancer Using Artificial Neural Networks.

Degree: MSin Mathematics (M.S.), Department of Mathematical Sciences, 2018, Georgia Southern University

  World Health Organization statistics show that cervical cancer is the fourth most frequent cancer in women with an estimated 530,000 new cases in 2012.… (more)

Subjects/Keywords: Neural Networks; Classification; Pattern recognition; Artificial Intelligence and Robotics

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APA (6th Edition):

Mamun, A. A. (2018). Multiclass Classification of Risk Factors for Cervical Cancer Using Artificial Neural Networks. (Masters Thesis). Georgia Southern University. Retrieved from https://digitalcommons.georgiasouthern.edu/etd/1798

Chicago Manual of Style (16th Edition):

Mamun, Abdullah Al. “Multiclass Classification of Risk Factors for Cervical Cancer Using Artificial Neural Networks.” 2018. Masters Thesis, Georgia Southern University. Accessed August 24, 2019. https://digitalcommons.georgiasouthern.edu/etd/1798.

MLA Handbook (7th Edition):

Mamun, Abdullah Al. “Multiclass Classification of Risk Factors for Cervical Cancer Using Artificial Neural Networks.” 2018. Web. 24 Aug 2019.

Vancouver:

Mamun AA. Multiclass Classification of Risk Factors for Cervical Cancer Using Artificial Neural Networks. [Internet] [Masters thesis]. Georgia Southern University; 2018. [cited 2019 Aug 24]. Available from: https://digitalcommons.georgiasouthern.edu/etd/1798.

Council of Science Editors:

Mamun AA. Multiclass Classification of Risk Factors for Cervical Cancer Using Artificial Neural Networks. [Masters Thesis]. Georgia Southern University; 2018. Available from: https://digitalcommons.georgiasouthern.edu/etd/1798


Delft University of Technology

9. Schmidt, W.F. Neural pattern classifying systems: Theory and experiments with trainable pattern classifiers.

Degree: 1994, Delft University of Technology

Subjects/Keywords: Pattern recognition; neural networks

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APA (6th Edition):

Schmidt, W. F. (1994). Neural pattern classifying systems: Theory and experiments with trainable pattern classifiers. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:aacf2b30-82fa-4145-9db9-da3287997be2 ; urn:NBN:nl:ui:24-uuid:aacf2b30-82fa-4145-9db9-da3287997be2 ; urn:NBN:nl:ui:24-uuid:aacf2b30-82fa-4145-9db9-da3287997be2 ; http://resolver.tudelft.nl/uuid:aacf2b30-82fa-4145-9db9-da3287997be2

Chicago Manual of Style (16th Edition):

Schmidt, W F. “Neural pattern classifying systems: Theory and experiments with trainable pattern classifiers.” 1994. Doctoral Dissertation, Delft University of Technology. Accessed August 24, 2019. http://resolver.tudelft.nl/uuid:aacf2b30-82fa-4145-9db9-da3287997be2 ; urn:NBN:nl:ui:24-uuid:aacf2b30-82fa-4145-9db9-da3287997be2 ; urn:NBN:nl:ui:24-uuid:aacf2b30-82fa-4145-9db9-da3287997be2 ; http://resolver.tudelft.nl/uuid:aacf2b30-82fa-4145-9db9-da3287997be2.

MLA Handbook (7th Edition):

Schmidt, W F. “Neural pattern classifying systems: Theory and experiments with trainable pattern classifiers.” 1994. Web. 24 Aug 2019.

Vancouver:

Schmidt WF. Neural pattern classifying systems: Theory and experiments with trainable pattern classifiers. [Internet] [Doctoral dissertation]. Delft University of Technology; 1994. [cited 2019 Aug 24]. Available from: http://resolver.tudelft.nl/uuid:aacf2b30-82fa-4145-9db9-da3287997be2 ; urn:NBN:nl:ui:24-uuid:aacf2b30-82fa-4145-9db9-da3287997be2 ; urn:NBN:nl:ui:24-uuid:aacf2b30-82fa-4145-9db9-da3287997be2 ; http://resolver.tudelft.nl/uuid:aacf2b30-82fa-4145-9db9-da3287997be2.

Council of Science Editors:

Schmidt WF. Neural pattern classifying systems: Theory and experiments with trainable pattern classifiers. [Doctoral Dissertation]. Delft University of Technology; 1994. Available from: http://resolver.tudelft.nl/uuid:aacf2b30-82fa-4145-9db9-da3287997be2 ; urn:NBN:nl:ui:24-uuid:aacf2b30-82fa-4145-9db9-da3287997be2 ; urn:NBN:nl:ui:24-uuid:aacf2b30-82fa-4145-9db9-da3287997be2 ; http://resolver.tudelft.nl/uuid:aacf2b30-82fa-4145-9db9-da3287997be2


University of Lethbridge

10. Zaamout, Khobaib M. Two novel ensemble approaches for improving classification of neural networks .

Degree: 2012, University of Lethbridge

 The task of pattern recognition is one of the most recurrent tasks that we encounter in our lives. Therefore, there has been a significant interest… (more)

Subjects/Keywords: Neural networks (Computer science); Pattern recognition systems; Dissertations, Academic

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APA (6th Edition):

Zaamout, K. M. (2012). Two novel ensemble approaches for improving classification of neural networks . (Thesis). University of Lethbridge. Retrieved from http://hdl.handle.net/10133/3241

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):

Zaamout, Khobaib M. “Two novel ensemble approaches for improving classification of neural networks .” 2012. Thesis, University of Lethbridge. Accessed August 24, 2019. http://hdl.handle.net/10133/3241.

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

MLA Handbook (7th Edition):

Zaamout, Khobaib M. “Two novel ensemble approaches for improving classification of neural networks .” 2012. Web. 24 Aug 2019.

Vancouver:

Zaamout KM. Two novel ensemble approaches for improving classification of neural networks . [Internet] [Thesis]. University of Lethbridge; 2012. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/10133/3241.

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

Council of Science Editors:

Zaamout KM. Two novel ensemble approaches for improving classification of neural networks . [Thesis]. University of Lethbridge; 2012. Available from: http://hdl.handle.net/10133/3241

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


University of New Mexico

11. Maestas, Dominic Ron. Human inspired pattern recognition via local invariant features.

Degree: Mechanical Engineering, 2013, University of New Mexico

 Vision is increasingly becoming a vital element in the manufacturing industry. As complex as it already is, vision is becoming even more difficult to implement… (more)

Subjects/Keywords: Pattern recognition systems; Neural networks (Computer science); Taguchi methods (Quality control)

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APA (6th Edition):

Maestas, D. R. (2013). Human inspired pattern recognition via local invariant features. (Doctoral Dissertation). University of New Mexico. Retrieved from http://hdl.handle.net/1928/22053

Chicago Manual of Style (16th Edition):

Maestas, Dominic Ron. “Human inspired pattern recognition via local invariant features.” 2013. Doctoral Dissertation, University of New Mexico. Accessed August 24, 2019. http://hdl.handle.net/1928/22053.

MLA Handbook (7th Edition):

Maestas, Dominic Ron. “Human inspired pattern recognition via local invariant features.” 2013. Web. 24 Aug 2019.

Vancouver:

Maestas DR. Human inspired pattern recognition via local invariant features. [Internet] [Doctoral dissertation]. University of New Mexico; 2013. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/1928/22053.

Council of Science Editors:

Maestas DR. Human inspired pattern recognition via local invariant features. [Doctoral Dissertation]. University of New Mexico; 2013. Available from: http://hdl.handle.net/1928/22053


Tampere University

12. Liukkonen, Mikko. Recurrent neural network model for detecting Diameter signalling patterns in LTE control-plane traffic .

Degree: 2017, Tampere University

 Data roaming in the LTE network has become popular because people want to continue using the same services abroad as in their home network. Hence,… (more)

Subjects/Keywords: recurrent neural networks; LTE roaming; Diameter signalling; pattern recognition

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APA (6th Edition):

Liukkonen, M. (2017). Recurrent neural network model for detecting Diameter signalling patterns in LTE control-plane traffic . (Masters Thesis). Tampere University. Retrieved from https://trepo.tuni.fi/handle/10024/100951

Chicago Manual of Style (16th Edition):

Liukkonen, Mikko. “Recurrent neural network model for detecting Diameter signalling patterns in LTE control-plane traffic .” 2017. Masters Thesis, Tampere University. Accessed August 24, 2019. https://trepo.tuni.fi/handle/10024/100951.

MLA Handbook (7th Edition):

Liukkonen, Mikko. “Recurrent neural network model for detecting Diameter signalling patterns in LTE control-plane traffic .” 2017. Web. 24 Aug 2019.

Vancouver:

Liukkonen M. Recurrent neural network model for detecting Diameter signalling patterns in LTE control-plane traffic . [Internet] [Masters thesis]. Tampere University; 2017. [cited 2019 Aug 24]. Available from: https://trepo.tuni.fi/handle/10024/100951.

Council of Science Editors:

Liukkonen M. Recurrent neural network model for detecting Diameter signalling patterns in LTE control-plane traffic . [Masters Thesis]. Tampere University; 2017. Available from: https://trepo.tuni.fi/handle/10024/100951


University of Oulu

13. Mäkelä, J.-P. (Juha-Pekka). Effects of handoff algorithms on the performance of multimedia wireless networks.

Degree: 2008, University of Oulu

 Abstract Handoff is the procedure providing the connection to the backbone network while a mobile terminal is moving across the boundaries of coverage of two… (more)

Subjects/Keywords: fuzzy logic; handoff algorithms; internetworking; neural networks; pattern recognition; rate adaptive; wireless local area networks

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APA (6th Edition):

Mäkelä, J. -. (. (2008). Effects of handoff algorithms on the performance of multimedia wireless networks. (Doctoral Dissertation). University of Oulu. Retrieved from http://urn.fi/urn:isbn:9789514288241

Chicago Manual of Style (16th Edition):

Mäkelä, J -P (Juha-Pekka). “Effects of handoff algorithms on the performance of multimedia wireless networks.” 2008. Doctoral Dissertation, University of Oulu. Accessed August 24, 2019. http://urn.fi/urn:isbn:9789514288241.

MLA Handbook (7th Edition):

Mäkelä, J -P (Juha-Pekka). “Effects of handoff algorithms on the performance of multimedia wireless networks.” 2008. Web. 24 Aug 2019.

Vancouver:

Mäkelä J-(. Effects of handoff algorithms on the performance of multimedia wireless networks. [Internet] [Doctoral dissertation]. University of Oulu; 2008. [cited 2019 Aug 24]. Available from: http://urn.fi/urn:isbn:9789514288241.

Council of Science Editors:

Mäkelä J-(. Effects of handoff algorithms on the performance of multimedia wireless networks. [Doctoral Dissertation]. University of Oulu; 2008. Available from: http://urn.fi/urn:isbn:9789514288241


University of Johannesburg

14. Mgabile, Tinny. Network intrusion detection system using neural networks approach in networked biometrics system.

Degree: 2014, University of Johannesburg

M.Phil. (Electrical and Electronic Engineering)

Network security has become increasingly important as more and more applica- tions are making their way into the market. The… (more)

Subjects/Keywords: Computer networks - Security measures; Neural networks (Computer science); Pattern recognition systems; Biometric identification

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APA (6th Edition):

Mgabile, T. (2014). Network intrusion detection system using neural networks approach in networked biometrics system. (Thesis). University of Johannesburg. Retrieved from http://hdl.handle.net/10210/10054

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):

Mgabile, Tinny. “Network intrusion detection system using neural networks approach in networked biometrics system.” 2014. Thesis, University of Johannesburg. Accessed August 24, 2019. http://hdl.handle.net/10210/10054.

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

MLA Handbook (7th Edition):

Mgabile, Tinny. “Network intrusion detection system using neural networks approach in networked biometrics system.” 2014. Web. 24 Aug 2019.

Vancouver:

Mgabile T. Network intrusion detection system using neural networks approach in networked biometrics system. [Internet] [Thesis]. University of Johannesburg; 2014. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/10210/10054.

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

Council of Science Editors:

Mgabile T. Network intrusion detection system using neural networks approach in networked biometrics system. [Thesis]. University of Johannesburg; 2014. Available from: http://hdl.handle.net/10210/10054

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


University of California – Riverside

15. Elgabaly, Ahmed Mohamed. Expectation and Knowledge Guided Neural Networks for Image Recognition.

Degree: Electrical Engineering, 2016, University of California – Riverside

 Psychological research shows that in order to visually identify an object, our brain generates an initial hypothesis of what it is, and tests stored patterns… (more)

Subjects/Keywords: Electrical engineering; Character Recognition; Handwritten Character Recognition; Neural Networks; Pattern Recognition; You see what you expect to see

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APA (6th Edition):

Elgabaly, A. M. (2016). Expectation and Knowledge Guided Neural Networks for Image Recognition. (Thesis). University of California – Riverside. Retrieved from http://www.escholarship.org/uc/item/8w78007j

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):

Elgabaly, Ahmed Mohamed. “Expectation and Knowledge Guided Neural Networks for Image Recognition.” 2016. Thesis, University of California – Riverside. Accessed August 24, 2019. http://www.escholarship.org/uc/item/8w78007j.

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

MLA Handbook (7th Edition):

Elgabaly, Ahmed Mohamed. “Expectation and Knowledge Guided Neural Networks for Image Recognition.” 2016. Web. 24 Aug 2019.

Vancouver:

Elgabaly AM. Expectation and Knowledge Guided Neural Networks for Image Recognition. [Internet] [Thesis]. University of California – Riverside; 2016. [cited 2019 Aug 24]. Available from: http://www.escholarship.org/uc/item/8w78007j.

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

Council of Science Editors:

Elgabaly AM. Expectation and Knowledge Guided Neural Networks for Image Recognition. [Thesis]. University of California – Riverside; 2016. Available from: http://www.escholarship.org/uc/item/8w78007j

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


Linnaeus University

16. Hönel, Sebastian. Temporal data analysis facilitating recognition of enhanced patterns.

Degree: Computer Science, 2015, Linnaeus University

  Assessing the source code quality of software objectively requires a well-defined model. Due to the distinct nature of each and every project, the definition… (more)

Subjects/Keywords: Technical analysis; Pattern recognition; Neural Networks; Software quality assessment; Computer Sciences; Datavetenskap (datalogi)

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APA (6th Edition):

Hönel, S. (2015). Temporal data analysis facilitating recognition of enhanced patterns. (Thesis). Linnaeus University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-51864

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):

Hönel, Sebastian. “Temporal data analysis facilitating recognition of enhanced patterns.” 2015. Thesis, Linnaeus University. Accessed August 24, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-51864.

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

MLA Handbook (7th Edition):

Hönel, Sebastian. “Temporal data analysis facilitating recognition of enhanced patterns.” 2015. Web. 24 Aug 2019.

Vancouver:

Hönel S. Temporal data analysis facilitating recognition of enhanced patterns. [Internet] [Thesis]. Linnaeus University; 2015. [cited 2019 Aug 24]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-51864.

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

Council of Science Editors:

Hönel S. Temporal data analysis facilitating recognition of enhanced patterns. [Thesis]. Linnaeus University; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-51864

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


Case Western Reserve University

17. Lee, Dennis Tak-Fat. Adaptive pattern recognition approach for dynamic system control using neural networks.

Degree: PhD, Electrical Engineering, 1991, Case Western Reserve University

 An adaptive pattern recognition approach implemented using neural networks for control is proposed, and its performance is compared with other conventional and modern approaches. The… (more)

Subjects/Keywords: Adaptive pattern recognition approach; Neural networks

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

APA (6th Edition):

Lee, D. T. (1991). Adaptive pattern recognition approach for dynamic system control using neural networks. (Doctoral Dissertation). Case Western Reserve University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=case1059488640

Chicago Manual of Style (16th Edition):

Lee, Dennis Tak-Fat. “Adaptive pattern recognition approach for dynamic system control using neural networks.” 1991. Doctoral Dissertation, Case Western Reserve University. Accessed August 24, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=case1059488640.

MLA Handbook (7th Edition):

Lee, Dennis Tak-Fat. “Adaptive pattern recognition approach for dynamic system control using neural networks.” 1991. Web. 24 Aug 2019.

Vancouver:

Lee DT. Adaptive pattern recognition approach for dynamic system control using neural networks. [Internet] [Doctoral dissertation]. Case Western Reserve University; 1991. [cited 2019 Aug 24]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1059488640.

Council of Science Editors:

Lee DT. Adaptive pattern recognition approach for dynamic system control using neural networks. [Doctoral Dissertation]. Case Western Reserve University; 1991. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1059488640


Aston University

18. Sarkaria, Sarbjit Singh. Neural networks for perceptual grouping.

Degree: PhD, 1990, Aston University

 A number of researchers have investigated the application of neural networks to visual recognition, with much of the emphasis placed on exploiting the network's ability… (more)

Subjects/Keywords: 621.3994; Neural networks and pattern recognition

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APA (6th Edition):

Sarkaria, S. S. (1990). Neural networks for perceptual grouping. (Doctoral Dissertation). Aston University. Retrieved from http://publications.aston.ac.uk/id/eprint/10653/ ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.281366

Chicago Manual of Style (16th Edition):

Sarkaria, Sarbjit Singh. “Neural networks for perceptual grouping.” 1990. Doctoral Dissertation, Aston University. Accessed August 24, 2019. http://publications.aston.ac.uk/id/eprint/10653/ ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.281366.

MLA Handbook (7th Edition):

Sarkaria, Sarbjit Singh. “Neural networks for perceptual grouping.” 1990. Web. 24 Aug 2019.

Vancouver:

Sarkaria SS. Neural networks for perceptual grouping. [Internet] [Doctoral dissertation]. Aston University; 1990. [cited 2019 Aug 24]. Available from: http://publications.aston.ac.uk/id/eprint/10653/ ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.281366.

Council of Science Editors:

Sarkaria SS. Neural networks for perceptual grouping. [Doctoral Dissertation]. Aston University; 1990. Available from: http://publications.aston.ac.uk/id/eprint/10653/ ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.281366


Florida Atlantic University

19. Thakkar, Jay. A novel NN paradigm for the prediction of hematocrit value during blood transfusion.

Degree: M.S.C.S., 2011, Florida Atlantic University

Summary: During the Leukocytapheresis (LCAP) process used to treat patients suffering from acute Ulcerative Colitis, medical practitioners have to continuously monitor the Hematocrit (Ht) level… (more)

Subjects/Keywords: Neural networks (Computer science) – Scientific applications; GMDH algorithms; Pattern recognition systems; Genetic algorithms; Fuzzy logic

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

APA (6th Edition):

Thakkar, J. (2011). A novel NN paradigm for the prediction of hematocrit value during blood transfusion. (Masters Thesis). Florida Atlantic University. Retrieved from http://purl.flvc.org/FAU/3174078

Chicago Manual of Style (16th Edition):

Thakkar, Jay. “A novel NN paradigm for the prediction of hematocrit value during blood transfusion.” 2011. Masters Thesis, Florida Atlantic University. Accessed August 24, 2019. http://purl.flvc.org/FAU/3174078.

MLA Handbook (7th Edition):

Thakkar, Jay. “A novel NN paradigm for the prediction of hematocrit value during blood transfusion.” 2011. Web. 24 Aug 2019.

Vancouver:

Thakkar J. A novel NN paradigm for the prediction of hematocrit value during blood transfusion. [Internet] [Masters thesis]. Florida Atlantic University; 2011. [cited 2019 Aug 24]. Available from: http://purl.flvc.org/FAU/3174078.

Council of Science Editors:

Thakkar J. A novel NN paradigm for the prediction of hematocrit value during blood transfusion. [Masters Thesis]. Florida Atlantic University; 2011. Available from: http://purl.flvc.org/FAU/3174078


Hong Kong University of Science and Technology

20. Kang, Ruipeng ECE. Hand pose estimation using single depth image.

Degree: 2017, Hong Kong University of Science and Technology

 In this paper, we propose several effective techniques to train deep convolution neural network(CNN) for hand pose estimation, which is a complex regression problem. We… (more)

Subjects/Keywords: Pattern perception; Mathematical models; Image processing; Computer vision; Neural networks (Computer science)

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APA (6th Edition):

Kang, R. E. (2017). Hand pose estimation using single depth image. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-991012554068503412 ; http://repository.ust.hk/ir/bitstream/1783.1-95191/1/th_redirect.html

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):

Kang, Ruipeng ECE. “Hand pose estimation using single depth image.” 2017. Thesis, Hong Kong University of Science and Technology. Accessed August 24, 2019. https://doi.org/10.14711/thesis-991012554068503412 ; http://repository.ust.hk/ir/bitstream/1783.1-95191/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Kang, Ruipeng ECE. “Hand pose estimation using single depth image.” 2017. Web. 24 Aug 2019.

Vancouver:

Kang RE. Hand pose estimation using single depth image. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2017. [cited 2019 Aug 24]. Available from: https://doi.org/10.14711/thesis-991012554068503412 ; http://repository.ust.hk/ir/bitstream/1783.1-95191/1/th_redirect.html.

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

Council of Science Editors:

Kang RE. Hand pose estimation using single depth image. [Thesis]. Hong Kong University of Science and Technology; 2017. Available from: https://doi.org/10.14711/thesis-991012554068503412 ; http://repository.ust.hk/ir/bitstream/1783.1-95191/1/th_redirect.html

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


University of Adelaide

21. Hosseini, Habib Mir Mohamad. Analysis and recognition of Persian and Arabic handwritten characters / by Habib Mir Mohamad Hosseini.

Degree: 1997, University of Adelaide

Studies the potential problems of off-line recognition of Persian and Arabic handwritten texts. Advisors/Committee Members: Dept. of Electrical and Electronic Engineering (school).

Subjects/Keywords: Pattern recognition systems.; Pattern perception.; Neural networks (Computer science); Arabic language Writing.; Arabic language Alphabet.; Persian language Writing.; Persian language Alphabet.

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APA (6th Edition):

Hosseini, H. M. M. (1997). Analysis and recognition of Persian and Arabic handwritten characters / by Habib Mir Mohamad Hosseini. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/19398

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):

Hosseini, Habib Mir Mohamad. “Analysis and recognition of Persian and Arabic handwritten characters / by Habib Mir Mohamad Hosseini.” 1997. Thesis, University of Adelaide. Accessed August 24, 2019. http://hdl.handle.net/2440/19398.

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

MLA Handbook (7th Edition):

Hosseini, Habib Mir Mohamad. “Analysis and recognition of Persian and Arabic handwritten characters / by Habib Mir Mohamad Hosseini.” 1997. Web. 24 Aug 2019.

Vancouver:

Hosseini HMM. Analysis and recognition of Persian and Arabic handwritten characters / by Habib Mir Mohamad Hosseini. [Internet] [Thesis]. University of Adelaide; 1997. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/2440/19398.

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

Council of Science Editors:

Hosseini HMM. Analysis and recognition of Persian and Arabic handwritten characters / by Habib Mir Mohamad Hosseini. [Thesis]. University of Adelaide; 1997. Available from: http://hdl.handle.net/2440/19398

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


Georgia Tech

22. Rizwan, Muhammad. Adaptation of hybrid deep neural network-hidden Markov model speech recognition system using a sub-space approach.

Degree: PhD, Electrical and Computer Engineering, 2017, Georgia Tech

 The performance of automatic speech recognition (ASR) system can be enhanced by adaptation of the ASR for a particular speaker or a group of speakers.… (more)

Subjects/Keywords: Speaker adaptation; Adaptive phoneme classification; Deep neural networks; Accent classification

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APA (6th Edition):

Rizwan, M. (2017). Adaptation of hybrid deep neural network-hidden Markov model speech recognition system using a sub-space approach. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60171

Chicago Manual of Style (16th Edition):

Rizwan, Muhammad. “Adaptation of hybrid deep neural network-hidden Markov model speech recognition system using a sub-space approach.” 2017. Doctoral Dissertation, Georgia Tech. Accessed August 24, 2019. http://hdl.handle.net/1853/60171.

MLA Handbook (7th Edition):

Rizwan, Muhammad. “Adaptation of hybrid deep neural network-hidden Markov model speech recognition system using a sub-space approach.” 2017. Web. 24 Aug 2019.

Vancouver:

Rizwan M. Adaptation of hybrid deep neural network-hidden Markov model speech recognition system using a sub-space approach. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/1853/60171.

Council of Science Editors:

Rizwan M. Adaptation of hybrid deep neural network-hidden Markov model speech recognition system using a sub-space approach. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/60171

23. Abdelmotaleb, Ahmed Mostafa Othman. Evolution of Spiking Neural Networks for Temporal Pattern Recognition and Animat Control .

Degree: 2016, University of Hertfordshire

 I extended an artificial life platform called GReaNs (the name stands for Gene Regulatory evolving artificial Networks) to explore the evolutionary abilities of biologically inspired… (more)

Subjects/Keywords: Evolving Spiking Neural Networks; Temporal Pattern Recognition; Animat Foraging; Genetic Algorithm; Gene regulatory networks; Leaky integrate and fire; Spinnaker; Evolutionary algorithm

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APA (6th Edition):

Abdelmotaleb, A. M. O. (2016). Evolution of Spiking Neural Networks for Temporal Pattern Recognition and Animat Control . (Thesis). University of Hertfordshire. Retrieved from http://hdl.handle.net/2299/17181

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):

Abdelmotaleb, Ahmed Mostafa Othman. “Evolution of Spiking Neural Networks for Temporal Pattern Recognition and Animat Control .” 2016. Thesis, University of Hertfordshire. Accessed August 24, 2019. http://hdl.handle.net/2299/17181.

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

MLA Handbook (7th Edition):

Abdelmotaleb, Ahmed Mostafa Othman. “Evolution of Spiking Neural Networks for Temporal Pattern Recognition and Animat Control .” 2016. Web. 24 Aug 2019.

Vancouver:

Abdelmotaleb AMO. Evolution of Spiking Neural Networks for Temporal Pattern Recognition and Animat Control . [Internet] [Thesis]. University of Hertfordshire; 2016. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/2299/17181.

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

Council of Science Editors:

Abdelmotaleb AMO. Evolution of Spiking Neural Networks for Temporal Pattern Recognition and Animat Control . [Thesis]. University of Hertfordshire; 2016. Available from: http://hdl.handle.net/2299/17181

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


University of Stirling

24. Hunter, Russell I. Improving Associative Memory in a Network of Spiking Neurons.

Degree: PhD, 2011, University of Stirling

 In this thesis we use computational neural network models to examine the dynamics and functionality of the CA3 region of the mammalian hippocampus. The emphasis… (more)

Subjects/Keywords: Associative Memory; mammalian hippocampus; Neural Networks; Pattern Recall; Inhibition; Basket Cell; Parallel; Persistent Sodium Channel; Associative storage; Pattern perception; Hippocampus (Brain) Computer simulation; Neural networks (Neurobiology)

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APA (6th Edition):

Hunter, R. I. (2011). Improving Associative Memory in a Network of Spiking Neurons. (Doctoral Dissertation). University of Stirling. Retrieved from http://hdl.handle.net/1893/6177

Chicago Manual of Style (16th Edition):

Hunter, Russell I. “Improving Associative Memory in a Network of Spiking Neurons.” 2011. Doctoral Dissertation, University of Stirling. Accessed August 24, 2019. http://hdl.handle.net/1893/6177.

MLA Handbook (7th Edition):

Hunter, Russell I. “Improving Associative Memory in a Network of Spiking Neurons.” 2011. Web. 24 Aug 2019.

Vancouver:

Hunter RI. Improving Associative Memory in a Network of Spiking Neurons. [Internet] [Doctoral dissertation]. University of Stirling; 2011. [cited 2019 Aug 24]. Available from: http://hdl.handle.net/1893/6177.

Council of Science Editors:

Hunter RI. Improving Associative Memory in a Network of Spiking Neurons. [Doctoral Dissertation]. University of Stirling; 2011. Available from: http://hdl.handle.net/1893/6177


Ohio University

25. Huang, Yiming. Phoneme Recognition Using Neural Network and Sequence Learning Model.

Degree: MS, Electrical Engineering (Engineering and Technology), 2009, Ohio University

  The purpose of this thesis is to describe a biologically motivated approach for phoneme recognition by using a self-organized neural network and sequence learning… (more)

Subjects/Keywords: Artificial Intelligence; Design; Electrical Engineering; Engineering; Phoneme Recognition; Neural Network; Long-Term Memory; Sequence Learning

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APA (6th Edition):

Huang, Y. (2009). Phoneme Recognition Using Neural Network and Sequence Learning Model. (Masters Thesis). Ohio University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1236027180

Chicago Manual of Style (16th Edition):

Huang, Yiming. “Phoneme Recognition Using Neural Network and Sequence Learning Model.” 2009. Masters Thesis, Ohio University. Accessed August 24, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1236027180.

MLA Handbook (7th Edition):

Huang, Yiming. “Phoneme Recognition Using Neural Network and Sequence Learning Model.” 2009. Web. 24 Aug 2019.

Vancouver:

Huang Y. Phoneme Recognition Using Neural Network and Sequence Learning Model. [Internet] [Masters thesis]. Ohio University; 2009. [cited 2019 Aug 24]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1236027180.

Council of Science Editors:

Huang Y. Phoneme Recognition Using Neural Network and Sequence Learning Model. [Masters Thesis]. Ohio University; 2009. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1236027180


University of South Australia

26. Westmacott, Jason. An artificial neural network for robust shape recognition in real time.

Degree: MEng, 2000, University of South Australia

Traditional Automatic Target Recognition (ATR) Systems often fail when faced with complex recognition tasks involving noise, clutter, and complexity. This work is concerned with implementing… (more)

Subjects/Keywords: Automatic tracking; Neural networks (Computer science); Pattern recognition systems

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APA (6th Edition):

Westmacott, J. (2000). An artificial neural network for robust shape recognition in real time. (Thesis). University of South Australia. Retrieved from http://arrow.unisa.edu.au:8081/1959.8/82556 ; http://arrow.unisa.edu.au/vital/access/manager/Repository/unisa:43297

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):

Westmacott, Jason. “An artificial neural network for robust shape recognition in real time.” 2000. Thesis, University of South Australia. Accessed August 24, 2019. http://arrow.unisa.edu.au:8081/1959.8/82556 ; http://arrow.unisa.edu.au/vital/access/manager/Repository/unisa:43297.

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

MLA Handbook (7th Edition):

Westmacott, Jason. “An artificial neural network for robust shape recognition in real time.” 2000. Web. 24 Aug 2019.

Vancouver:

Westmacott J. An artificial neural network for robust shape recognition in real time. [Internet] [Thesis]. University of South Australia; 2000. [cited 2019 Aug 24]. Available from: http://arrow.unisa.edu.au:8081/1959.8/82556 ; http://arrow.unisa.edu.au/vital/access/manager/Repository/unisa:43297.

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

Council of Science Editors:

Westmacott J. An artificial neural network for robust shape recognition in real time. [Thesis]. University of South Australia; 2000. Available from: http://arrow.unisa.edu.au:8081/1959.8/82556 ; http://arrow.unisa.edu.au/vital/access/manager/Repository/unisa:43297

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

27. Sandmann, Humberto Rodrigo. Padrões de pulsos e computação em redes neurais com dinâmica.

Degree: PhD, Sistemas Eletrônicos, 2012, University of São Paulo

O processamento de sinais feito pelos sistemas neurais biológicos é altamente eficiente e complexo, por isso desperta grande atenção de pesquisa. Basicamente, todo o processamento… (more)

Subjects/Keywords: Bio-inspired pattern recognition; Dynamical neural networks; Osciladores; Pulse-coupled oscillators; Reconhecimento de padrões; Redes complexas; Redes neurais; Sistemas dinâmicos

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APA (6th Edition):

Sandmann, H. R. (2012). Padrões de pulsos e computação em redes neurais com dinâmica. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/3/3142/tde-05092012-165022/ ;

Chicago Manual of Style (16th Edition):

Sandmann, Humberto Rodrigo. “Padrões de pulsos e computação em redes neurais com dinâmica.” 2012. Doctoral Dissertation, University of São Paulo. Accessed August 24, 2019. http://www.teses.usp.br/teses/disponiveis/3/3142/tde-05092012-165022/ ;.

MLA Handbook (7th Edition):

Sandmann, Humberto Rodrigo. “Padrões de pulsos e computação em redes neurais com dinâmica.” 2012. Web. 24 Aug 2019.

Vancouver:

Sandmann HR. Padrões de pulsos e computação em redes neurais com dinâmica. [Internet] [Doctoral dissertation]. University of São Paulo; 2012. [cited 2019 Aug 24]. Available from: http://www.teses.usp.br/teses/disponiveis/3/3142/tde-05092012-165022/ ;.

Council of Science Editors:

Sandmann HR. Padrões de pulsos e computação em redes neurais com dinâmica. [Doctoral Dissertation]. University of São Paulo; 2012. Available from: http://www.teses.usp.br/teses/disponiveis/3/3142/tde-05092012-165022/ ;

28. Edmilson Queiroz dos Santos Filho. Um sistema de visÃo computacional para classificaÃÃo da qualidade do couro caprino.

Degree: Master, 2013, Universidade Federal do Ceará

 Uma alternativa econÃmica importante para a regiÃo semi-Ãrida do Brasil à a criaÃÃo de ovinos e caprinos. AlÃm de leite e carne de caprinos/ovinos, as… (more)

Subjects/Keywords: ENGENHARIA ELETRICA; TeleinformÃtica; Reconhecimento de PadrÃes; Redes Neurais; OpÃÃo de RejeiÃÃo; Feature Extraction; Pattern Recognition; Neural Networks; Reject Option

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APA (6th Edition):

Filho, E. Q. d. S. (2013). Um sistema de visÃo computacional para classificaÃÃo da qualidade do couro caprino. (Masters Thesis). Universidade Federal do Ceará. Retrieved from http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=12569 ;

Chicago Manual of Style (16th Edition):

Filho, Edmilson Queiroz dos Santos. “Um sistema de visÃo computacional para classificaÃÃo da qualidade do couro caprino.” 2013. Masters Thesis, Universidade Federal do Ceará. Accessed August 24, 2019. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=12569 ;.

MLA Handbook (7th Edition):

Filho, Edmilson Queiroz dos Santos. “Um sistema de visÃo computacional para classificaÃÃo da qualidade do couro caprino.” 2013. Web. 24 Aug 2019.

Vancouver:

Filho EQdS. Um sistema de visÃo computacional para classificaÃÃo da qualidade do couro caprino. [Internet] [Masters thesis]. Universidade Federal do Ceará 2013. [cited 2019 Aug 24]. Available from: http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=12569 ;.

Council of Science Editors:

Filho EQdS. Um sistema de visÃo computacional para classificaÃÃo da qualidade do couro caprino. [Masters Thesis]. Universidade Federal do Ceará 2013. Available from: http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=12569 ;


Portland State University

29. Price, Ryan William. Hierarchical Temporal Memory Cortical Learning Algorithm for Pattern Recognition on Multi-core Architectures.

Degree: MS(M.S.) in Systems Science, Systems Science, 2011, Portland State University

  Strongly inspired by an understanding of mammalian cortical structure and function, the Hierarchical Temporal Memory Cortical Learning Algorithm (HTM CLA) is a promising new… (more)

Subjects/Keywords: Multi-threading; Hierarchical temporal memory cortical learning algorithm; HTM CLA; Machine learning; Artificial intelligence; Pattern recognition systems; Neural networks (Computer science)

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

APA (6th Edition):

Price, R. W. (2011). Hierarchical Temporal Memory Cortical Learning Algorithm for Pattern Recognition on Multi-core Architectures. (Masters Thesis). Portland State University. Retrieved from http://pdxscholar.library.pdx.edu/open_access_etds/202

Chicago Manual of Style (16th Edition):

Price, Ryan William. “Hierarchical Temporal Memory Cortical Learning Algorithm for Pattern Recognition on Multi-core Architectures.” 2011. Masters Thesis, Portland State University. Accessed August 24, 2019. http://pdxscholar.library.pdx.edu/open_access_etds/202.

MLA Handbook (7th Edition):

Price, Ryan William. “Hierarchical Temporal Memory Cortical Learning Algorithm for Pattern Recognition on Multi-core Architectures.” 2011. Web. 24 Aug 2019.

Vancouver:

Price RW. Hierarchical Temporal Memory Cortical Learning Algorithm for Pattern Recognition on Multi-core Architectures. [Internet] [Masters thesis]. Portland State University; 2011. [cited 2019 Aug 24]. Available from: http://pdxscholar.library.pdx.edu/open_access_etds/202.

Council of Science Editors:

Price RW. Hierarchical Temporal Memory Cortical Learning Algorithm for Pattern Recognition on Multi-core Architectures. [Masters Thesis]. Portland State University; 2011. Available from: http://pdxscholar.library.pdx.edu/open_access_etds/202


Ohio University

30. Yao, Xiaoqiang. Pattern-recognition scheduling.

Degree: MS, Industrial and Manufacturing Systems Engineering (Engineering), 1996, Ohio University

 The interest in the use of artificial neural networks (ANNs) to solve engineering optimization problems have been growing at a substantial pace in recent years.… (more)

Subjects/Keywords: Engineering, Industrial; Artificial Neural Networks; Genetic Algorithms; pattern-Recognition

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

APA (6th Edition):

Yao, X. (1996). Pattern-recognition scheduling. (Masters Thesis). Ohio University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1177698616

Chicago Manual of Style (16th Edition):

Yao, Xiaoqiang. “Pattern-recognition scheduling.” 1996. Masters Thesis, Ohio University. Accessed August 24, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1177698616.

MLA Handbook (7th Edition):

Yao, Xiaoqiang. “Pattern-recognition scheduling.” 1996. Web. 24 Aug 2019.

Vancouver:

Yao X. Pattern-recognition scheduling. [Internet] [Masters thesis]. Ohio University; 1996. [cited 2019 Aug 24]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1177698616.

Council of Science Editors:

Yao X. Pattern-recognition scheduling. [Masters Thesis]. Ohio University; 1996. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1177698616

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