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You searched for subject:(Neural network). Showing records 1 – 30 of 35 total matches.

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University of Pretoria

1. Uys, Eben. An investigation into using neural networks for statistical classification and regression.

Degree: Statistics, 2010, University of Pretoria

Neural networks are seldom used as a modelling tool by statisticians. This is often due to the lack of knowledge in the eld of neural(more)

Subjects/Keywords: Automated valuation model; Statistical classification neural network; Neural network statistics; UCTD

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APA (6th Edition):

Uys, E. (2010). An investigation into using neural networks for statistical classification and regression. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/26104

Chicago Manual of Style (16th Edition):

Uys, Eben. “An investigation into using neural networks for statistical classification and regression.” 2010. Masters Thesis, University of Pretoria. Accessed April 02, 2020. http://hdl.handle.net/2263/26104.

MLA Handbook (7th Edition):

Uys, Eben. “An investigation into using neural networks for statistical classification and regression.” 2010. Web. 02 Apr 2020.

Vancouver:

Uys E. An investigation into using neural networks for statistical classification and regression. [Internet] [Masters thesis]. University of Pretoria; 2010. [cited 2020 Apr 02]. Available from: http://hdl.handle.net/2263/26104.

Council of Science Editors:

Uys E. An investigation into using neural networks for statistical classification and regression. [Masters Thesis]. University of Pretoria; 2010. Available from: http://hdl.handle.net/2263/26104


University of Pretoria

2. [No author]. An investigation into using neural networks for statistical classification and regression .

Degree: 2010, University of Pretoria

Neural networks are seldom used as a modelling tool by statisticians. This is often due to the lack of knowledge in the eld of neural(more)

Subjects/Keywords: Automated valuation model; Statistical classification neural network; Neural network statistics; UCTD

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APA (6th Edition):

author], [. (2010). An investigation into using neural networks for statistical classification and regression . (Masters Thesis). University of Pretoria. Retrieved from http://upetd.up.ac.za/thesis/available/etd-07072010-144503/

Chicago Manual of Style (16th Edition):

author], [No. “An investigation into using neural networks for statistical classification and regression .” 2010. Masters Thesis, University of Pretoria. Accessed April 02, 2020. http://upetd.up.ac.za/thesis/available/etd-07072010-144503/.

MLA Handbook (7th Edition):

author], [No. “An investigation into using neural networks for statistical classification and regression .” 2010. Web. 02 Apr 2020.

Vancouver:

author] [. An investigation into using neural networks for statistical classification and regression . [Internet] [Masters thesis]. University of Pretoria; 2010. [cited 2020 Apr 02]. Available from: http://upetd.up.ac.za/thesis/available/etd-07072010-144503/.

Council of Science Editors:

author] [. An investigation into using neural networks for statistical classification and regression . [Masters Thesis]. University of Pretoria; 2010. Available from: http://upetd.up.ac.za/thesis/available/etd-07072010-144503/


University of South Africa

3. Mirabeau, Nguela. Face image recognition using PCA, 2DCT and neural network .

Degree: 2018, University of South Africa

 Automatic face recognition is a very important research area in computer science since it has been widely used in security systems. During the last two… (more)

Subjects/Keywords: Principal component analysis; Neural network; Two-dimensional cosine transforms; Eigenvalues and eigenvectors; Covariance matrix; Feed forward network; Neural network

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APA (6th Edition):

Mirabeau, N. (2018). Face image recognition using PCA, 2DCT and neural network . (Masters Thesis). University of South Africa. Retrieved from http://hdl.handle.net/10500/26330

Chicago Manual of Style (16th Edition):

Mirabeau, Nguela. “Face image recognition using PCA, 2DCT and neural network .” 2018. Masters Thesis, University of South Africa. Accessed April 02, 2020. http://hdl.handle.net/10500/26330.

MLA Handbook (7th Edition):

Mirabeau, Nguela. “Face image recognition using PCA, 2DCT and neural network .” 2018. Web. 02 Apr 2020.

Vancouver:

Mirabeau N. Face image recognition using PCA, 2DCT and neural network . [Internet] [Masters thesis]. University of South Africa; 2018. [cited 2020 Apr 02]. Available from: http://hdl.handle.net/10500/26330.

Council of Science Editors:

Mirabeau N. Face image recognition using PCA, 2DCT and neural network . [Masters Thesis]. University of South Africa; 2018. Available from: http://hdl.handle.net/10500/26330


University of the Western Cape

4. Brydon, Humphrey Charles. Missing imputation methods explored in big data analytics .

Degree: 2018, University of the Western Cape

 The aim of this study is to look at the methods and processes involved in imputing missing data and more specifically, complete missing blocks of… (more)

Subjects/Keywords: Missing data; Imputation methods; Multiple imputation; Neural network; Bagging

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APA (6th Edition):

Brydon, H. C. (2018). Missing imputation methods explored in big data analytics . (Thesis). University of the Western Cape. Retrieved from http://hdl.handle.net/11394/6605

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):

Brydon, Humphrey Charles. “Missing imputation methods explored in big data analytics .” 2018. Thesis, University of the Western Cape. Accessed April 02, 2020. http://hdl.handle.net/11394/6605.

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

MLA Handbook (7th Edition):

Brydon, Humphrey Charles. “Missing imputation methods explored in big data analytics .” 2018. Web. 02 Apr 2020.

Vancouver:

Brydon HC. Missing imputation methods explored in big data analytics . [Internet] [Thesis]. University of the Western Cape; 2018. [cited 2020 Apr 02]. Available from: http://hdl.handle.net/11394/6605.

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

Council of Science Editors:

Brydon HC. Missing imputation methods explored in big data analytics . [Thesis]. University of the Western Cape; 2018. Available from: http://hdl.handle.net/11394/6605

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


North-West University

5. Combrinck, Angelique. Adaptive control of an active magnetic bearing flywheel system using neural networks / Angelique Combrinck .

Degree: 2010, North-West University

 The School of Electrical, Electronic and Computer Engineering at the North-West University in Potchefstroom has established an active magnetic bearing (AMB) research group called McTronX.… (more)

Subjects/Keywords: Adaptive control; Active magnetic bearing; Neural network; System identification

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APA (6th Edition):

Combrinck, A. (2010). Adaptive control of an active magnetic bearing flywheel system using neural networks / Angelique Combrinck . (Thesis). North-West University. Retrieved from http://hdl.handle.net/10394/4457

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):

Combrinck, Angelique. “Adaptive control of an active magnetic bearing flywheel system using neural networks / Angelique Combrinck .” 2010. Thesis, North-West University. Accessed April 02, 2020. http://hdl.handle.net/10394/4457.

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

MLA Handbook (7th Edition):

Combrinck, Angelique. “Adaptive control of an active magnetic bearing flywheel system using neural networks / Angelique Combrinck .” 2010. Web. 02 Apr 2020.

Vancouver:

Combrinck A. Adaptive control of an active magnetic bearing flywheel system using neural networks / Angelique Combrinck . [Internet] [Thesis]. North-West University; 2010. [cited 2020 Apr 02]. Available from: http://hdl.handle.net/10394/4457.

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

Council of Science Editors:

Combrinck A. Adaptive control of an active magnetic bearing flywheel system using neural networks / Angelique Combrinck . [Thesis]. North-West University; 2010. Available from: http://hdl.handle.net/10394/4457

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


University of KwaZulu-Natal

6. Mosola, Napo Nathnael. Client-side encryption and key management: enforcing data confidentiality in the cloud.

Degree: 2016, University of KwaZulu-Natal

 Cloud computing brings flexible, scalable and cost effective services. This is a computing paradigm whose services are driven by the concept of virtualization and multi-tenancy.… (more)

Subjects/Keywords: Theses - Computer Science.; Cloud computing.; Virtualization.; Neural Network.; Inter-VM attacks.

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APA (6th Edition):

Mosola, N. N. (2016). Client-side encryption and key management: enforcing data confidentiality in the cloud. (Thesis). University of KwaZulu-Natal. Retrieved from http://hdl.handle.net/10413/15496

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):

Mosola, Napo Nathnael. “Client-side encryption and key management: enforcing data confidentiality in the cloud.” 2016. Thesis, University of KwaZulu-Natal. Accessed April 02, 2020. http://hdl.handle.net/10413/15496.

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

MLA Handbook (7th Edition):

Mosola, Napo Nathnael. “Client-side encryption and key management: enforcing data confidentiality in the cloud.” 2016. Web. 02 Apr 2020.

Vancouver:

Mosola NN. Client-side encryption and key management: enforcing data confidentiality in the cloud. [Internet] [Thesis]. University of KwaZulu-Natal; 2016. [cited 2020 Apr 02]. Available from: http://hdl.handle.net/10413/15496.

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

Council of Science Editors:

Mosola NN. Client-side encryption and key management: enforcing data confidentiality in the cloud. [Thesis]. University of KwaZulu-Natal; 2016. Available from: http://hdl.handle.net/10413/15496

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


Stellenbosch University

7. Groch, Matthew. Modelling and short-term forecasting of high wind speed events at operational wind farms.

Degree: PhD, Electrical and Electronic Engineering, 2019, Stellenbosch University

ENGLISH ABSTRACT: The increasing penetration of wind energy has prompted a reform of the prototypical operational practices of conventional power systems, especially systems dominated by… (more)

Subjects/Keywords: Winds  – Speed; Wind farms; Wind energy conversion systems; Artificial neural network

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APA (6th Edition):

Groch, M. (2019). Modelling and short-term forecasting of high wind speed events at operational wind farms. (Doctoral Dissertation). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/107184

Chicago Manual of Style (16th Edition):

Groch, Matthew. “Modelling and short-term forecasting of high wind speed events at operational wind farms.” 2019. Doctoral Dissertation, Stellenbosch University. Accessed April 02, 2020. http://hdl.handle.net/10019.1/107184.

MLA Handbook (7th Edition):

Groch, Matthew. “Modelling and short-term forecasting of high wind speed events at operational wind farms.” 2019. Web. 02 Apr 2020.

Vancouver:

Groch M. Modelling and short-term forecasting of high wind speed events at operational wind farms. [Internet] [Doctoral dissertation]. Stellenbosch University; 2019. [cited 2020 Apr 02]. Available from: http://hdl.handle.net/10019.1/107184.

Council of Science Editors:

Groch M. Modelling and short-term forecasting of high wind speed events at operational wind farms. [Doctoral Dissertation]. Stellenbosch University; 2019. Available from: http://hdl.handle.net/10019.1/107184


University of Pretoria

8. Van der Stockt, Stefan Aloysius Gert. A generic neural network framework using design patterns.

Degree: Computer Science, 2008, University of Pretoria

 Designing object-oriented software is hard, and designing reusable object-oriented software is even harder. This task is even more daunting for a developer of computational intelligence… (more)

Subjects/Keywords: Computational intelligence; Software engineering; Design pattern; Incremental learning; Sensitivity analysis; Taxonomy; Saila algorithm; Neural network library; Cilib; Artificial neural network; Artificial intelligence; UCTD

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APA (6th Edition):

Van der Stockt, S. A. G. (2008). A generic neural network framework using design patterns. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/27614

Chicago Manual of Style (16th Edition):

Van der Stockt, Stefan Aloysius Gert. “A generic neural network framework using design patterns.” 2008. Masters Thesis, University of Pretoria. Accessed April 02, 2020. http://hdl.handle.net/2263/27614.

MLA Handbook (7th Edition):

Van der Stockt, Stefan Aloysius Gert. “A generic neural network framework using design patterns.” 2008. Web. 02 Apr 2020.

Vancouver:

Van der Stockt SAG. A generic neural network framework using design patterns. [Internet] [Masters thesis]. University of Pretoria; 2008. [cited 2020 Apr 02]. Available from: http://hdl.handle.net/2263/27614.

Council of Science Editors:

Van der Stockt SAG. A generic neural network framework using design patterns. [Masters Thesis]. University of Pretoria; 2008. Available from: http://hdl.handle.net/2263/27614


University of Pretoria

9. Van der Stockt, Stefan Aloysius Gert. A generic neural network framework using design patterns .

Degree: 2008, University of Pretoria

 Designing object-oriented software is hard, and designing reusable object-oriented software is even harder. This task is even more daunting for a developer of computational intelligence… (more)

Subjects/Keywords: Computational intelligence; Software engineering; Design pattern; Incremental learning; Sensitivity analysis; Taxonomy; Saila algorithm; Neural network library; Cilib; Artificial neural network; Artificial intelligence; UCTD

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APA (6th Edition):

Van der Stockt, S. A. G. (2008). A generic neural network framework using design patterns . (Masters Thesis). University of Pretoria. Retrieved from http://upetd.up.ac.za/thesis/available/etd-08282008-174737/

Chicago Manual of Style (16th Edition):

Van der Stockt, Stefan Aloysius Gert. “A generic neural network framework using design patterns .” 2008. Masters Thesis, University of Pretoria. Accessed April 02, 2020. http://upetd.up.ac.za/thesis/available/etd-08282008-174737/.

MLA Handbook (7th Edition):

Van der Stockt, Stefan Aloysius Gert. “A generic neural network framework using design patterns .” 2008. Web. 02 Apr 2020.

Vancouver:

Van der Stockt SAG. A generic neural network framework using design patterns . [Internet] [Masters thesis]. University of Pretoria; 2008. [cited 2020 Apr 02]. Available from: http://upetd.up.ac.za/thesis/available/etd-08282008-174737/.

Council of Science Editors:

Van der Stockt SAG. A generic neural network framework using design patterns . [Masters Thesis]. University of Pretoria; 2008. Available from: http://upetd.up.ac.za/thesis/available/etd-08282008-174737/


University of Pretoria

10. Rava, Eleonora Maria Elizabeth. Bioaugmentation of coal gasification stripped gas liquor wastewater in a hybrid fixed-film bioreactor.

Degree: PhD, Chemical Engineering, 2017, University of Pretoria

 Coal gasification stripped gas liquor (CGSGL) wastewater contains large quantities of complex organic and inorganic pollutants which include phenols, ammonia, hydantoins, furans, indoles, pyridines, phthalates… (more)

Subjects/Keywords: Artificial neural network (ANN); Chemical oxygen demand (COD); Microbial diversity; Next generation sequencing (NGS); UCTD

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APA (6th Edition):

Rava, E. M. (2017). Bioaugmentation of coal gasification stripped gas liquor wastewater in a hybrid fixed-film bioreactor. (Doctoral Dissertation). University of Pretoria. Retrieved from http://hdl.handle.net/2263/62789

Chicago Manual of Style (16th Edition):

Rava, Eleonora Maria. “Bioaugmentation of coal gasification stripped gas liquor wastewater in a hybrid fixed-film bioreactor.” 2017. Doctoral Dissertation, University of Pretoria. Accessed April 02, 2020. http://hdl.handle.net/2263/62789.

MLA Handbook (7th Edition):

Rava, Eleonora Maria. “Bioaugmentation of coal gasification stripped gas liquor wastewater in a hybrid fixed-film bioreactor.” 2017. Web. 02 Apr 2020.

Vancouver:

Rava EM. Bioaugmentation of coal gasification stripped gas liquor wastewater in a hybrid fixed-film bioreactor. [Internet] [Doctoral dissertation]. University of Pretoria; 2017. [cited 2020 Apr 02]. Available from: http://hdl.handle.net/2263/62789.

Council of Science Editors:

Rava EM. Bioaugmentation of coal gasification stripped gas liquor wastewater in a hybrid fixed-film bioreactor. [Doctoral Dissertation]. University of Pretoria; 2017. Available from: http://hdl.handle.net/2263/62789


Stellenbosch University

11. Yoon, Moonyoung. Developing basic soccer skills using reinforcement learning for the RoboCup small size league.

Degree: MSc, Industrial Engineering, 2015, Stellenbosch University

ENGLISH ABSTRACT: This study has started as part of a research project at Stellenbosch University (SU) that aims at building a team of soccer-playing robots… (more)

Subjects/Keywords: Reinforcement learning; Multi-layer perceptron; Neural network; Robot soccer; RoboCup small size league; UCTD

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APA (6th Edition):

Yoon, M. (2015). Developing basic soccer skills using reinforcement learning for the RoboCup small size league. (Masters Thesis). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/96823

Chicago Manual of Style (16th Edition):

Yoon, Moonyoung. “Developing basic soccer skills using reinforcement learning for the RoboCup small size league.” 2015. Masters Thesis, Stellenbosch University. Accessed April 02, 2020. http://hdl.handle.net/10019.1/96823.

MLA Handbook (7th Edition):

Yoon, Moonyoung. “Developing basic soccer skills using reinforcement learning for the RoboCup small size league.” 2015. Web. 02 Apr 2020.

Vancouver:

Yoon M. Developing basic soccer skills using reinforcement learning for the RoboCup small size league. [Internet] [Masters thesis]. Stellenbosch University; 2015. [cited 2020 Apr 02]. Available from: http://hdl.handle.net/10019.1/96823.

Council of Science Editors:

Yoon M. Developing basic soccer skills using reinforcement learning for the RoboCup small size league. [Masters Thesis]. Stellenbosch University; 2015. Available from: http://hdl.handle.net/10019.1/96823


Stellenbosch University

12. Pretorius, Arnu. On noise regularised neural networks: initialisation, learning and inference.

Degree: PhD, Mathematical Sciences, 2019, Stellenbosch University

 ENGLISH ABSTRACT: Innovation in regularisation techniques for deep neural networks has been a key factor in the rising success of deep learning. However, there is… (more)

Subjects/Keywords: Neural networks (Computer Science); Neural network initialisation; Stochastic regularisation; Machine learning; Regularisation; Mean field theory; Artificial intelligtence; Bayesian statistical decision theory; Probabilities  – Data processing; Noise (Computer Science); UCTD

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APA (6th Edition):

Pretorius, A. (2019). On noise regularised neural networks: initialisation, learning and inference. (Doctoral Dissertation). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/107035

Chicago Manual of Style (16th Edition):

Pretorius, Arnu. “On noise regularised neural networks: initialisation, learning and inference.” 2019. Doctoral Dissertation, Stellenbosch University. Accessed April 02, 2020. http://hdl.handle.net/10019.1/107035.

MLA Handbook (7th Edition):

Pretorius, Arnu. “On noise regularised neural networks: initialisation, learning and inference.” 2019. Web. 02 Apr 2020.

Vancouver:

Pretorius A. On noise regularised neural networks: initialisation, learning and inference. [Internet] [Doctoral dissertation]. Stellenbosch University; 2019. [cited 2020 Apr 02]. Available from: http://hdl.handle.net/10019.1/107035.

Council of Science Editors:

Pretorius A. On noise regularised neural networks: initialisation, learning and inference. [Doctoral Dissertation]. Stellenbosch University; 2019. Available from: http://hdl.handle.net/10019.1/107035


University of Pretoria

13. Walford, Wesley Michael. Evaluating the use of neural networks to predict river flow gauge values.

Degree: MSc, Geography, Geoinformatics and Meteorology, 2017, University of Pretoria

 Without improved water management the global population could be facing serious water shortages. River flow discharge rates are one factor that could contribute to improving… (more)

Subjects/Keywords: River Flow gauge value; Artificial Neural Network; Thukela; UCTD

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APA (6th Edition):

Walford, W. M. (2017). Evaluating the use of neural networks to predict river flow gauge values. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/63361

Chicago Manual of Style (16th Edition):

Walford, Wesley Michael. “Evaluating the use of neural networks to predict river flow gauge values.” 2017. Masters Thesis, University of Pretoria. Accessed April 02, 2020. http://hdl.handle.net/2263/63361.

MLA Handbook (7th Edition):

Walford, Wesley Michael. “Evaluating the use of neural networks to predict river flow gauge values.” 2017. Web. 02 Apr 2020.

Vancouver:

Walford WM. Evaluating the use of neural networks to predict river flow gauge values. [Internet] [Masters thesis]. University of Pretoria; 2017. [cited 2020 Apr 02]. Available from: http://hdl.handle.net/2263/63361.

Council of Science Editors:

Walford WM. Evaluating the use of neural networks to predict river flow gauge values. [Masters Thesis]. University of Pretoria; 2017. Available from: http://hdl.handle.net/2263/63361


University of KwaZulu-Natal

14. Mutombo, Ntumba Marc-Alain. Development of neuro-fuzzy strategies for prediction and management of hybrid PV-PEMFC-battery systems.

Degree: 2017, University of KwaZulu-Natal

Abstract available in PDF file. Advisors/Committee Members: Inambao, Freddie Liswaniso. (advisor), Tiako, Remy. (advisor).

Subjects/Keywords: Fuel cells.; Photovoltaic.; Hybrid system.; Neural network.; Neuro fuzzy.

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APA (6th Edition):

Mutombo, N. M. (2017). Development of neuro-fuzzy strategies for prediction and management of hybrid PV-PEMFC-battery systems. (Thesis). University of KwaZulu-Natal. Retrieved from http://hdl.handle.net/10413/14850

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):

Mutombo, Ntumba Marc-Alain. “Development of neuro-fuzzy strategies for prediction and management of hybrid PV-PEMFC-battery systems.” 2017. Thesis, University of KwaZulu-Natal. Accessed April 02, 2020. http://hdl.handle.net/10413/14850.

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

MLA Handbook (7th Edition):

Mutombo, Ntumba Marc-Alain. “Development of neuro-fuzzy strategies for prediction and management of hybrid PV-PEMFC-battery systems.” 2017. Web. 02 Apr 2020.

Vancouver:

Mutombo NM. Development of neuro-fuzzy strategies for prediction and management of hybrid PV-PEMFC-battery systems. [Internet] [Thesis]. University of KwaZulu-Natal; 2017. [cited 2020 Apr 02]. Available from: http://hdl.handle.net/10413/14850.

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

Council of Science Editors:

Mutombo NM. Development of neuro-fuzzy strategies for prediction and management of hybrid PV-PEMFC-battery systems. [Thesis]. University of KwaZulu-Natal; 2017. Available from: http://hdl.handle.net/10413/14850

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


University of Pretoria

15. Naidoo, Myrin Anand. Nonlinear Control with State Estimation and Power Optimization for a ROM Ore Milling Circuit.

Degree: Electrical, Electronic and Computer Engineering, 2015, University of Pretoria

 A run-of-mine ore milling circuit is primarily used to grind incoming ore containing precious metals to a particle size smaller than a specification size. A… (more)

Subjects/Keywords: Model predictive control; Dynamic inversion; grinding mill; Particle filter; Run-of-mine; State estimation; Neural network; UCTD

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APA (6th Edition):

Naidoo, M. A. (2015). Nonlinear Control with State Estimation and Power Optimization for a ROM Ore Milling Circuit. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/44240

Chicago Manual of Style (16th Edition):

Naidoo, Myrin Anand. “Nonlinear Control with State Estimation and Power Optimization for a ROM Ore Milling Circuit.” 2015. Masters Thesis, University of Pretoria. Accessed April 02, 2020. http://hdl.handle.net/2263/44240.

MLA Handbook (7th Edition):

Naidoo, Myrin Anand. “Nonlinear Control with State Estimation and Power Optimization for a ROM Ore Milling Circuit.” 2015. Web. 02 Apr 2020.

Vancouver:

Naidoo MA. Nonlinear Control with State Estimation and Power Optimization for a ROM Ore Milling Circuit. [Internet] [Masters thesis]. University of Pretoria; 2015. [cited 2020 Apr 02]. Available from: http://hdl.handle.net/2263/44240.

Council of Science Editors:

Naidoo MA. Nonlinear Control with State Estimation and Power Optimization for a ROM Ore Milling Circuit. [Masters Thesis]. University of Pretoria; 2015. Available from: http://hdl.handle.net/2263/44240


University of Pretoria

16. Myburgh, Gerbert. Eukaryotic RNA Polymerase II start site detection using artificial neural networks.

Degree: Electrical, Electronic and Computer Engineering, 2007, University of Pretoria

 An automated detection process for Eukaryotic ribonucleic acid (RNA) Polymerase II Promoter is presented in this dissertation. We employ an artificial neural network (ANN) in… (more)

Subjects/Keywords: Artificial neural network application; Automated promoter detection; Polymerase ii; UCTD

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APA (6th Edition):

Myburgh, G. (2007). Eukaryotic RNA Polymerase II start site detection using artificial neural networks. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/24730

Chicago Manual of Style (16th Edition):

Myburgh, Gerbert. “Eukaryotic RNA Polymerase II start site detection using artificial neural networks.” 2007. Masters Thesis, University of Pretoria. Accessed April 02, 2020. http://hdl.handle.net/2263/24730.

MLA Handbook (7th Edition):

Myburgh, Gerbert. “Eukaryotic RNA Polymerase II start site detection using artificial neural networks.” 2007. Web. 02 Apr 2020.

Vancouver:

Myburgh G. Eukaryotic RNA Polymerase II start site detection using artificial neural networks. [Internet] [Masters thesis]. University of Pretoria; 2007. [cited 2020 Apr 02]. Available from: http://hdl.handle.net/2263/24730.

Council of Science Editors:

Myburgh G. Eukaryotic RNA Polymerase II start site detection using artificial neural networks. [Masters Thesis]. University of Pretoria; 2007. Available from: http://hdl.handle.net/2263/24730


University of Pretoria

17. Dean, Eileen J. Computer aided identification of biological specimens using self-organizing maps.

Degree: Computer Science, 2011, University of Pretoria

 For scientific or socio-economic reasons it is often necessary or desirable that biological material be identified. Given that there are an estimated 10 million living… (more)

Subjects/Keywords: Tree identification; Biological keys; Biological identification; Clustering and visualization; Ann; Artificial neural network; Ai; Artificial intelligence; Botanical identification; Acacia species; Self-organizing map; Unsupervised learning algorithm; Som; UCTD

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APA (6th Edition):

Dean, E. J. (2011). Computer aided identification of biological specimens using self-organizing maps. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/23116

Chicago Manual of Style (16th Edition):

Dean, Eileen J. “Computer aided identification of biological specimens using self-organizing maps.” 2011. Masters Thesis, University of Pretoria. Accessed April 02, 2020. http://hdl.handle.net/2263/23116.

MLA Handbook (7th Edition):

Dean, Eileen J. “Computer aided identification of biological specimens using self-organizing maps.” 2011. Web. 02 Apr 2020.

Vancouver:

Dean EJ. Computer aided identification of biological specimens using self-organizing maps. [Internet] [Masters thesis]. University of Pretoria; 2011. [cited 2020 Apr 02]. Available from: http://hdl.handle.net/2263/23116.

Council of Science Editors:

Dean EJ. Computer aided identification of biological specimens using self-organizing maps. [Masters Thesis]. University of Pretoria; 2011. Available from: http://hdl.handle.net/2263/23116


University of Pretoria

18. Van den Bergh, Frans. An Analysis of Particle Swarm Optimizers.

Degree: Computer Science, 2007, University of Pretoria

 Many scientific, engineering and economic problems involve the optimisation of a set of parameters. These problems include examples like minimising the losses in a power… (more)

Subjects/Keywords: Particle swarm optimization (PSO); Mathematical optimization; Neural network training; UCTD

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APA (6th Edition):

Van den Bergh, F. (2007). An Analysis of Particle Swarm Optimizers. (Doctoral Dissertation). University of Pretoria. Retrieved from http://hdl.handle.net/2263/24297

Chicago Manual of Style (16th Edition):

Van den Bergh, Frans. “An Analysis of Particle Swarm Optimizers.” 2007. Doctoral Dissertation, University of Pretoria. Accessed April 02, 2020. http://hdl.handle.net/2263/24297.

MLA Handbook (7th Edition):

Van den Bergh, Frans. “An Analysis of Particle Swarm Optimizers.” 2007. Web. 02 Apr 2020.

Vancouver:

Van den Bergh F. An Analysis of Particle Swarm Optimizers. [Internet] [Doctoral dissertation]. University of Pretoria; 2007. [cited 2020 Apr 02]. Available from: http://hdl.handle.net/2263/24297.

Council of Science Editors:

Van den Bergh F. An Analysis of Particle Swarm Optimizers. [Doctoral Dissertation]. University of Pretoria; 2007. Available from: http://hdl.handle.net/2263/24297


University of Pretoria

19. [No author]. Eukaryotic RNA Polymerase II start site detection using artificial neural networks .

Degree: 2007, University of Pretoria

 An automated detection process for Eukaryotic ribonucleic acid (RNA) Polymerase II Promoter is presented in this dissertation. We employ an artificial neural network (ANN) in… (more)

Subjects/Keywords: Artificial neural network application; Automated promoter detection; Polymerase ii; UCTD

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

APA (6th Edition):

author], [. (2007). Eukaryotic RNA Polymerase II start site detection using artificial neural networks . (Masters Thesis). University of Pretoria. Retrieved from http://upetd.up.ac.za/thesis/available/etd-01242006-084630/

Chicago Manual of Style (16th Edition):

author], [No. “Eukaryotic RNA Polymerase II start site detection using artificial neural networks .” 2007. Masters Thesis, University of Pretoria. Accessed April 02, 2020. http://upetd.up.ac.za/thesis/available/etd-01242006-084630/.

MLA Handbook (7th Edition):

author], [No. “Eukaryotic RNA Polymerase II start site detection using artificial neural networks .” 2007. Web. 02 Apr 2020.

Vancouver:

author] [. Eukaryotic RNA Polymerase II start site detection using artificial neural networks . [Internet] [Masters thesis]. University of Pretoria; 2007. [cited 2020 Apr 02]. Available from: http://upetd.up.ac.za/thesis/available/etd-01242006-084630/.

Council of Science Editors:

author] [. Eukaryotic RNA Polymerase II start site detection using artificial neural networks . [Masters Thesis]. University of Pretoria; 2007. Available from: http://upetd.up.ac.za/thesis/available/etd-01242006-084630/


University of Pretoria

20. [No author]. Computer aided identification of biological specimens using self-organizing maps .

Degree: 2011, University of Pretoria

 For scientific or socio-economic reasons it is often necessary or desirable that biological material be identified. Given that there are an estimated 10 million living… (more)

Subjects/Keywords: Tree identification; Biological keys; Biological identification; Clustering and visualization; Ann; Artificial neural network; Ai; Artificial intelligence; Botanical identification; Acacia species; Self-organizing map; Unsupervised learning algorithm; Som; UCTD

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

APA (6th Edition):

author], [. (2011). Computer aided identification of biological specimens using self-organizing maps . (Masters Thesis). University of Pretoria. Retrieved from http://upetd.up.ac.za/thesis/available/etd-01122011-033543/

Chicago Manual of Style (16th Edition):

author], [No. “Computer aided identification of biological specimens using self-organizing maps .” 2011. Masters Thesis, University of Pretoria. Accessed April 02, 2020. http://upetd.up.ac.za/thesis/available/etd-01122011-033543/.

MLA Handbook (7th Edition):

author], [No. “Computer aided identification of biological specimens using self-organizing maps .” 2011. Web. 02 Apr 2020.

Vancouver:

author] [. Computer aided identification of biological specimens using self-organizing maps . [Internet] [Masters thesis]. University of Pretoria; 2011. [cited 2020 Apr 02]. Available from: http://upetd.up.ac.za/thesis/available/etd-01122011-033543/.

Council of Science Editors:

author] [. Computer aided identification of biological specimens using self-organizing maps . [Masters Thesis]. University of Pretoria; 2011. Available from: http://upetd.up.ac.za/thesis/available/etd-01122011-033543/


University of Pretoria

21. [No author]. An Analysis of Particle Swarm Optimizers .

Degree: 2007, University of Pretoria

 Many scientific, engineering and economic problems involve the optimisation of a set of parameters. These problems include examples like minimising the losses in a power… (more)

Subjects/Keywords: Particle swarm optimization (PSO); Mathematical optimization; Neural network training; UCTD

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

APA (6th Edition):

author], [. (2007). An Analysis of Particle Swarm Optimizers . (Doctoral Dissertation). University of Pretoria. Retrieved from http://upetd.up.ac.za/thesis/available/etd-05032006-160549/

Chicago Manual of Style (16th Edition):

author], [No. “An Analysis of Particle Swarm Optimizers .” 2007. Doctoral Dissertation, University of Pretoria. Accessed April 02, 2020. http://upetd.up.ac.za/thesis/available/etd-05032006-160549/.

MLA Handbook (7th Edition):

author], [No. “An Analysis of Particle Swarm Optimizers .” 2007. Web. 02 Apr 2020.

Vancouver:

author] [. An Analysis of Particle Swarm Optimizers . [Internet] [Doctoral dissertation]. University of Pretoria; 2007. [cited 2020 Apr 02]. Available from: http://upetd.up.ac.za/thesis/available/etd-05032006-160549/.

Council of Science Editors:

author] [. An Analysis of Particle Swarm Optimizers . [Doctoral Dissertation]. University of Pretoria; 2007. Available from: http://upetd.up.ac.za/thesis/available/etd-05032006-160549/


University of Pretoria

22. [No author]. Protein secondary structure prediction using amino acid regularities .

Degree: 2009, University of Pretoria

 The protein folding problem is examined. Specifically, the problem of predicting protein secondary structure from the amino acid sequence is investigated. A literature study is… (more)

Subjects/Keywords: Amino acid sequence; Neural network; Classification; Secondary structure; Protein secondary structure prediction; Bioinformatics; Pattern recognition; Protein folding problem; Amino acid; Protein; UCTD

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

APA (6th Edition):

author], [. (2009). Protein secondary structure prediction using amino acid regularities . (Masters Thesis). University of Pretoria. Retrieved from http://upetd.up.ac.za/thesis/available/etd-01232009-120040/

Chicago Manual of Style (16th Edition):

author], [No. “Protein secondary structure prediction using amino acid regularities .” 2009. Masters Thesis, University of Pretoria. Accessed April 02, 2020. http://upetd.up.ac.za/thesis/available/etd-01232009-120040/.

MLA Handbook (7th Edition):

author], [No. “Protein secondary structure prediction using amino acid regularities .” 2009. Web. 02 Apr 2020.

Vancouver:

author] [. Protein secondary structure prediction using amino acid regularities . [Internet] [Masters thesis]. University of Pretoria; 2009. [cited 2020 Apr 02]. Available from: http://upetd.up.ac.za/thesis/available/etd-01232009-120040/.

Council of Science Editors:

author] [. Protein secondary structure prediction using amino acid regularities . [Masters Thesis]. University of Pretoria; 2009. Available from: http://upetd.up.ac.za/thesis/available/etd-01232009-120040/


University of the Western Cape

23. Deaney, Mogammat Waleed. A Comparison of Machine Learning Techniques for Facial Expression Recognition .

Degree: 2018, University of the Western Cape

 A machine translation system that can convert South African Sign Language (SASL) video to audio or text and vice versa would be bene cial to… (more)

Subjects/Keywords: Facial expression recognition; Feature extraction; Machine learning; Support vector machine; Random forest; Arti cial neural network; Local binary patterns; Compound local binary patterns; Histogram of oriented gradients

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

APA (6th Edition):

Deaney, M. W. (2018). A Comparison of Machine Learning Techniques for Facial Expression Recognition . (Thesis). University of the Western Cape. Retrieved from http://hdl.handle.net/11394/6412

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):

Deaney, Mogammat Waleed. “A Comparison of Machine Learning Techniques for Facial Expression Recognition .” 2018. Thesis, University of the Western Cape. Accessed April 02, 2020. http://hdl.handle.net/11394/6412.

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

MLA Handbook (7th Edition):

Deaney, Mogammat Waleed. “A Comparison of Machine Learning Techniques for Facial Expression Recognition .” 2018. Web. 02 Apr 2020.

Vancouver:

Deaney MW. A Comparison of Machine Learning Techniques for Facial Expression Recognition . [Internet] [Thesis]. University of the Western Cape; 2018. [cited 2020 Apr 02]. Available from: http://hdl.handle.net/11394/6412.

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

Council of Science Editors:

Deaney MW. A Comparison of Machine Learning Techniques for Facial Expression Recognition . [Thesis]. University of the Western Cape; 2018. Available from: http://hdl.handle.net/11394/6412

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


North-West University

24. Wilgenbus, Erich Feodor. The file fragment classification problem : a combined neural network and linear programming discriminant model approach / Erich Feodor Wilgenbus .

Degree: 2013, North-West University

 The increased use of digital media to store legal, as well as illegal data, has created the need for specialized tools that can monitor, control… (more)

Subjects/Keywords: File type identifification; File fragment type identification; Multilayer perceptron neural network; Linear programming-based discriminant analysis; Ensembles; Classification; Rekenaarlêerformaatidentifisering; Rekenaarlêerfragmentformaatidentifisering; Lêerfragmentformaatidentifisering; Multilaag-perseptron neurale netwerk; Lineêre programmeringgebaseerde diskriminantklassifiseerder; Klassifikasie

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APA (6th Edition):

Wilgenbus, E. F. (2013). The file fragment classification problem : a combined neural network and linear programming discriminant model approach / Erich Feodor Wilgenbus . (Thesis). North-West University. Retrieved from http://hdl.handle.net/10394/10215

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):

Wilgenbus, Erich Feodor. “The file fragment classification problem : a combined neural network and linear programming discriminant model approach / Erich Feodor Wilgenbus .” 2013. Thesis, North-West University. Accessed April 02, 2020. http://hdl.handle.net/10394/10215.

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

MLA Handbook (7th Edition):

Wilgenbus, Erich Feodor. “The file fragment classification problem : a combined neural network and linear programming discriminant model approach / Erich Feodor Wilgenbus .” 2013. Web. 02 Apr 2020.

Vancouver:

Wilgenbus EF. The file fragment classification problem : a combined neural network and linear programming discriminant model approach / Erich Feodor Wilgenbus . [Internet] [Thesis]. North-West University; 2013. [cited 2020 Apr 02]. Available from: http://hdl.handle.net/10394/10215.

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

Council of Science Editors:

Wilgenbus EF. The file fragment classification problem : a combined neural network and linear programming discriminant model approach / Erich Feodor Wilgenbus . [Thesis]. North-West University; 2013. Available from: http://hdl.handle.net/10394/10215

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


North-West University

25. Goosen, Johannes Christiaan. Comparing generalized additive neural networks with multilayer perceptrons / Johannes Christiaan Goosen .

Degree: 2011, North-West University

 In this dissertation, generalized additive neural networks (GANNs) and multilayer perceptrons (MLPs) are studied and compared as prediction techniques. MLPs are the most widely used… (more)

Subjects/Keywords: ANN; Artificial neural network; AutoGANN; GANN; Generalized additive neural network; Insample model selection; MLP; Multilayer perceptron; N2C2S algorithm; Out-of-sample model selection; Prediction; Predictive modelling; SBC; Schwarz information criterion; KNN; Kunsmatige neurale netwerk; Veralgemeende additiewe neurale netwerk; VANN; In-steekproefmodel-seleksie; Multilaag perseptron; N2K2S-algoritme; Buite-steekproefmodel-seleksie; Voorspelling; Voorspellingsmodellering; Schwarz-inligtingskriterium

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APA (6th Edition):

Goosen, J. C. (2011). Comparing generalized additive neural networks with multilayer perceptrons / Johannes Christiaan Goosen . (Thesis). North-West University. Retrieved from http://hdl.handle.net/10394/5552

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):

Goosen, Johannes Christiaan. “Comparing generalized additive neural networks with multilayer perceptrons / Johannes Christiaan Goosen .” 2011. Thesis, North-West University. Accessed April 02, 2020. http://hdl.handle.net/10394/5552.

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

MLA Handbook (7th Edition):

Goosen, Johannes Christiaan. “Comparing generalized additive neural networks with multilayer perceptrons / Johannes Christiaan Goosen .” 2011. Web. 02 Apr 2020.

Vancouver:

Goosen JC. Comparing generalized additive neural networks with multilayer perceptrons / Johannes Christiaan Goosen . [Internet] [Thesis]. North-West University; 2011. [cited 2020 Apr 02]. Available from: http://hdl.handle.net/10394/5552.

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

Council of Science Editors:

Goosen JC. Comparing generalized additive neural networks with multilayer perceptrons / Johannes Christiaan Goosen . [Thesis]. North-West University; 2011. Available from: http://hdl.handle.net/10394/5552

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


University of Pretoria

26. Myburgh, Hermanus Carel. Low complexity turbo equalization using superstructures.

Degree: Electrical, Electronic and Computer Engineering, 2013, University of Pretoria

 In a wireless communication system the transmitted information is subjected to a number of impairments, among which inter-symbol interference (ISI), thermal noise and fading are… (more)

Subjects/Keywords: Equalization; Decoding; Turbo equalization,; Low complexity; Super structure; Iterative; Bayesian network; Hopfield neural network; Belief propagation; Interleaver; Cholesky; Markov process; UCTD

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APA (6th Edition):

Myburgh, H. C. (2013). Low complexity turbo equalization using superstructures. (Doctoral Dissertation). University of Pretoria. Retrieved from http://hdl.handle.net/2263/32814

Chicago Manual of Style (16th Edition):

Myburgh, Hermanus Carel. “Low complexity turbo equalization using superstructures.” 2013. Doctoral Dissertation, University of Pretoria. Accessed April 02, 2020. http://hdl.handle.net/2263/32814.

MLA Handbook (7th Edition):

Myburgh, Hermanus Carel. “Low complexity turbo equalization using superstructures.” 2013. Web. 02 Apr 2020.

Vancouver:

Myburgh HC. Low complexity turbo equalization using superstructures. [Internet] [Doctoral dissertation]. University of Pretoria; 2013. [cited 2020 Apr 02]. Available from: http://hdl.handle.net/2263/32814.

Council of Science Editors:

Myburgh HC. Low complexity turbo equalization using superstructures. [Doctoral Dissertation]. University of Pretoria; 2013. Available from: http://hdl.handle.net/2263/32814


University of South Africa

27. Muwawa, Jean Nestor Dahj. Data mining and predictive analytics application on cellular networks to monitor and optimize quality of service and customer experience .

Degree: 2018, University of South Africa

 This research study focuses on the application models of Data Mining and Machine Learning covering cellular network traffic, in the objective to arm Mobile Network(more)

Subjects/Keywords: Data Mining; Predictive Analytics; Big Data; Quality of Service (QoS); Customer Experience; Business Intelligence (BI); Network Churn; Key Quality Index (KQI); Key Performance Index (KPI); Service Quality Management (SQM); Neural Network (NN); Deep Learning (DL); Random Forest (RF); Classification Tree; Regression; In-memory Data processing; Data Science

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APA (6th Edition):

Muwawa, J. N. D. (2018). Data mining and predictive analytics application on cellular networks to monitor and optimize quality of service and customer experience . (Masters Thesis). University of South Africa. Retrieved from http://hdl.handle.net/10500/25875

Chicago Manual of Style (16th Edition):

Muwawa, Jean Nestor Dahj. “Data mining and predictive analytics application on cellular networks to monitor and optimize quality of service and customer experience .” 2018. Masters Thesis, University of South Africa. Accessed April 02, 2020. http://hdl.handle.net/10500/25875.

MLA Handbook (7th Edition):

Muwawa, Jean Nestor Dahj. “Data mining and predictive analytics application on cellular networks to monitor and optimize quality of service and customer experience .” 2018. Web. 02 Apr 2020.

Vancouver:

Muwawa JND. Data mining and predictive analytics application on cellular networks to monitor and optimize quality of service and customer experience . [Internet] [Masters thesis]. University of South Africa; 2018. [cited 2020 Apr 02]. Available from: http://hdl.handle.net/10500/25875.

Council of Science Editors:

Muwawa JND. Data mining and predictive analytics application on cellular networks to monitor and optimize quality of service and customer experience . [Masters Thesis]. University of South Africa; 2018. Available from: http://hdl.handle.net/10500/25875


University of Johannesburg

28. Cilliers, Charl. Remote monitoring and diagnosis for control of EDM parameters.

Degree: 2008, University of Johannesburg

M.Ing.

This thesis presents the concept of remote (Internet) data acquisition and processing for control of EDM parameters. It incorporates aspects of data analysis while… (more)

Subjects/Keywords: Machining automatic control; Machining monitoring; Computer integrated manufacturing systems; Internet; Computer network protocols; Neural networks (Computer science)

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APA (6th Edition):

Cilliers, C. (2008). Remote monitoring and diagnosis for control of EDM parameters. (Thesis). University of Johannesburg. Retrieved from http://hdl.handle.net/10210/1730

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):

Cilliers, Charl. “Remote monitoring and diagnosis for control of EDM parameters.” 2008. Thesis, University of Johannesburg. Accessed April 02, 2020. http://hdl.handle.net/10210/1730.

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

MLA Handbook (7th Edition):

Cilliers, Charl. “Remote monitoring and diagnosis for control of EDM parameters.” 2008. Web. 02 Apr 2020.

Vancouver:

Cilliers C. Remote monitoring and diagnosis for control of EDM parameters. [Internet] [Thesis]. University of Johannesburg; 2008. [cited 2020 Apr 02]. Available from: http://hdl.handle.net/10210/1730.

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

Council of Science Editors:

Cilliers C. Remote monitoring and diagnosis for control of EDM parameters. [Thesis]. University of Johannesburg; 2008. Available from: http://hdl.handle.net/10210/1730

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

29. Mvubu, Mhlasakululeka. An error correction neural network for stock market prediction.

Degree: MSc, Mathematical Sciences, 2019, Stellenbosch University

ENGLISH ABSTRACT : Predicting stock market has long been an intriguing topic for research in different fields. Numerous techniques have been conducted to forecast stock… (more)

Subjects/Keywords: UCTD; Stock price forecasting  – Mathematical models; Stock exchanges  – Computer networks; Neural network; Economic forecasting  – Mathematical models

…27 27 28 28 29 Error Correction Neutral Network 4.1 Overview of An Error Correction Neural… …Network . . . . . . . 4.2 Unfolding in Time of An Error Correction Neural Network . 4.3… …Overshooting in Error Correction Neural Network . . . . . . . 4.4 Computing the Gradient in Error… …Correction Neural Network 4.5 Extension of Error Correction Neural Network . . . . . . . . . 4.5.1… …3.5.2 Adaptive Gradient Algorithm (Adagrad) Long Short-Term Memory Neural Network… 

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

APA (6th Edition):

Mvubu, M. (2019). An error correction neural network for stock market prediction. (Masters Thesis). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/105798

Chicago Manual of Style (16th Edition):

Mvubu, Mhlasakululeka. “An error correction neural network for stock market prediction.” 2019. Masters Thesis, Stellenbosch University. Accessed April 02, 2020. http://hdl.handle.net/10019.1/105798.

MLA Handbook (7th Edition):

Mvubu, Mhlasakululeka. “An error correction neural network for stock market prediction.” 2019. Web. 02 Apr 2020.

Vancouver:

Mvubu M. An error correction neural network for stock market prediction. [Internet] [Masters thesis]. Stellenbosch University; 2019. [cited 2020 Apr 02]. Available from: http://hdl.handle.net/10019.1/105798.

Council of Science Editors:

Mvubu M. An error correction neural network for stock market prediction. [Masters Thesis]. Stellenbosch University; 2019. Available from: http://hdl.handle.net/10019.1/105798


University of South Africa

30. Payne, Daniel Frederik. The forecasting of transmission network loads.

Degree: 1997, University of South Africa

 The forecasting of Eskom transmission electrical network demands is a complex task. The lack of historical data on some of the network components complicates this… (more)

Subjects/Keywords: Electrical load forecast; Demand load forecast; Load forecast model; Demand load forecast model; Point load forecast for electrical network modelling; Electrical network parameter forecast; MW forecast; Transmission electrical network forecast; Transmission electrical network demand forecast; Neural networks; Multiple regression

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APA (6th Edition):

Payne, D. F. (1997). The forecasting of transmission network loads. (Masters Thesis). University of South Africa. Retrieved from http://hdl.handle.net/10500/15752

Chicago Manual of Style (16th Edition):

Payne, Daniel Frederik. “The forecasting of transmission network loads.” 1997. Masters Thesis, University of South Africa. Accessed April 02, 2020. http://hdl.handle.net/10500/15752.

MLA Handbook (7th Edition):

Payne, Daniel Frederik. “The forecasting of transmission network loads.” 1997. Web. 02 Apr 2020.

Vancouver:

Payne DF. The forecasting of transmission network loads. [Internet] [Masters thesis]. University of South Africa; 1997. [cited 2020 Apr 02]. Available from: http://hdl.handle.net/10500/15752.

Council of Science Editors:

Payne DF. The forecasting of transmission network loads. [Masters Thesis]. University of South Africa; 1997. Available from: http://hdl.handle.net/10500/15752

[1] [2]

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