Neural Networks for Identification, Prediction and Control

Author:   Duc T. Pham ,  Xing Liu
Publisher:   Springer London Ltd
Edition:   Softcover reprint of the original 1st ed. 1995
ISBN:  

9781447132462


Pages:   238
Publication Date:   12 December 2012
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Neural Networks for Identification, Prediction and Control


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Author:   Duc T. Pham ,  Xing Liu
Publisher:   Springer London Ltd
Imprint:   Springer London Ltd
Edition:   Softcover reprint of the original 1st ed. 1995
Dimensions:   Width: 15.50cm , Height: 1.30cm , Length: 23.50cm
Weight:   0.397kg
ISBN:  

9781447132462


ISBN 10:   1447132467
Pages:   238
Publication Date:   12 December 2012
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1 Artificial Neural Networks.- l.1 Types of Neural Networks.- l.2 Example Neural Networks.- 1.3 Summary.- References.- 2 Dynamic System Identification Using Feedforward Neural Networks.- 2.1Dynamic System Descriptions.- 2.2 Identification Based on System Inputs and Outputs.- 2.3 Identification Based on Measurable System States.- 2.4 Input-output Model Identification.- 2.5 State-space Model Identification.- 2.6 Discussion.- 2.7 Analysis of the Hybrid Network.- 2.8 Summary.- References.- 3 Dynamic System Modelling Using Recurrent Neural Networks.- 3.1 Basic Ehnan Network.- 3.2 Modified Ehnan Network.- 3.3 Dynamic System Modelling.- 3.4 Further Analysis of Ehnan Networks.- 3.5 Summary.- References.- 4 Modelling and Prediction Using GMDH Networks.- 4.1 N-Adaline Networks and Widrow-Hoff Learning.- 4.2 GMDH Network Based on N-Adalines.- 4.3 Applications.- 4.4 Discussion.- 4.5 Summary.- References.- 5 Financial Prediction Using Neural Networks.- 5.1 Stock Market Prediction.- 5.2 Currency Exchange Rate Prediction.- 5.3 Data Sets Adopted for Simulation.- 5.4 Prediction Based on GMDH Networks.- 5.5 Prediction Based on Multilayer Perception Networks.- 5.6 Prediction Based on Recurrent Networks.- 5.7 Discussion.- 5.8 Summary.- References.- 6 Neural Network Controllers.- 6.1 Neural Network Controllers.- 6.2 Comparison of Neural Network Controllers.- 6.3 Summary.- References.- 7 Neuromorphic Fuzzy Controller Design.- 7.1 Integrating Neural Networks and FLCs.- 7.2 Results of Neuromorphic Fuzzy Controllers Design.- 7.3 Summary.- References.- 8 Robot Manipulator Control Using Neural Networks.- 8.1 Modelling of a Multi-joint Robot.- 8.2 Control System.- 8.3 Application to a Two-joint Robot Arm.- 8.4 Discussion.- 8.5 Summary.- References.- Appendix A Introduction to Some Conventional Techniques of Identification, Prediction and Control.- Appendix B Fuzzy Sets and Fuzzy Logic Control.- Appendix C Genetic Algorithms.- Appendix D Program: Feedforward Network for System Identification.- Appendix E Program: Modified Elman Network for Identification.- Appendix F Program: GMDH Network for Prediction.- Author Index.

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