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Fuzzy Neural Networks for Real Time Control Applications
book

Fuzzy Neural Networks for Real Time Control Applications

by Erdal Kayacan, Mojtaba Ahmadieh Khanesar
October 2015
Intermediate to advanced
264 pages
6h 2m
English
Butterworth-Heinemann
Content preview from Fuzzy Neural Networks for Real Time Control Applications

Appendix A

Abstract This chapter provides sample source code for number of training algorithms for T2FNNs. The programming language is Matlab.

Keywords Simulations, Mackey-Glass, Matlab source code, T2FNN Training using Matlab

Contents

A.1 SMC Theory-Based Training Algorithm for Type-2 Fuzzy Neural Network 217

A.1.1 Main Script for SMC TheoryBased Training Algorithm for T2FNN 217

A.1.2 Source Code for Matlab Function t2fnnsmc 220

A.1.3 Source Code for Matlab Function MatrixMultiple.m 222

A.1.4 Source Code for Matlab Function scale.m 223

A.1.5 Source Code for Matlab Function inv_scale.m 223

A.2 GD-Based Theory-Based Training Algorithm for Type-2 Fuzzy Neural Network 223

A.2.1 Main Script 223

A.2.2 Source Code for Matlab Function t2fnngd.m ...

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Publisher Resources

ISBN: 9780128027035