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Fuzzy Neural Networks for Real Time Control Applications : Concepts, Modeling and Algorithms for Fast Learning by Kayacan, Erdal; Khanesar, Mojtaba Ahmadieh; Mendel, Jerry M is a nonfiction available to read on EtoBox.

What is Fuzzy Neural Networks for Real Time Control Applications : Concepts, Modeling and Algorithms for Fast Learning about?

AN INDISPENSABLE RESOURCE FOR ALL THOSE WHO DESIGN AND IMPLEMENT TYPE-1 AND TYPE-2 FUZZY NEURAL NETWORKS IN REAL TIME SYSTEMS Delve into the type-2 fuzzy logic systems and become engrossed in the parameter update algorithms for type-1 and type-2 fuzzy neural networks and their stability analysis with this book! Not only does this book stand apart from others in its focus but also in its application-based presentation style. Prepared in a way that can be easily understood by those who are experienced and inexperienced in this field. Readers can benefit from the computer source codes for both identification and control purposes which are given at the end of the book. A clear and an in-depth examination has been made of all the necessary mathematical foundations, type-1 and type-2 fuzzy neural network structures and their learning algorithms as well as their stability analysis. You will find that each chapter is devoted to a different learning algorithm for the tuning of type-1 and type-2 fuzzy neural networks; some of which are: • Gradient descent • Levenberg-Marquardt • Extended Kalman filter In addition to the aforementioned conventional learning methods above, number of novel slid

Who reads Fuzzy Neural Networks for Real Time Control Applications : Concepts, Modeling and Algorithms for Fast Learning?

Author

Kayacan, Erdal; Khanesar, Mojtaba Ahmadieh; Mendel, Jerry M

Publisher

Butterworth-Heinemann is an imprint of Elsevier

Published

2015

Language

EN

ISBN

9780128026878

Category

nonfiction

Subjects

Mathematics, Engineering, Science