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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
Chapter 8

Hybrid Training Method for Type-2 Fuzzy Neural Networks Using Particle Swarm Optimization

Abstract

Even if we have highly capable computers today, nature still has the best engineering designs. For example, it is not coincidence that the nose of an airplane is very similar to that of a dolphin. Not only the physical appearance but also the behavior of animals in nature are opening the doors for new theories. This chapter shows that nature is still helping humans make the most efficient and brilliant engineering designs.

In this chapter a novel hybrid training method based on continuous version of PSO and SMC-based training method for T2FNNs is proposed. The proposed approach uses PSO for the training of the antecedent parts of T2FNNs, ...

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Publisher Resources

ISBN: 9780128027035