Here is the full list of best reference books on Neural Nets, Fuzzy Systems and Applications.
|1. “Neural Networks: A comprehensive foundation” by Haykin S
Book Review: This book discusses neural networks from an engineering perspective. The book includes the learning process, back propagation, radial basis functions, recurrent networks, modular networks, neurodynamics and VLSI implementation. The book also provides detailed analysis of backpropagation learning and multi-layer perceptrons. The book contains chapters along with chapter objectives, problems, worked examples, illustrations and glossary. The book also covers various facets of neural networks along with the potential applications.
|2. “Neural Networks and Fuzzy Systems: A Dynamical Systems Approach to Machine Intelligence” by Kosko B|
|3. “Digital Neural Networks” by Kung S.Y|
|4. “Fuzzy Sets and Fuzzy Logic” by Klir G.J. and Yuan B.
Book Review: The book demonstrates the recent advancements made in the field of fuzzy sets and fuzzy logic. The book also illustrates a variety of applications of fuzzy sets and fuzzy logic. The book contains basic types of fuzzy sets, connection between fuzzy and crisp sets, fuzzy numbers and arithmetic operations on them, fuzzy relations and equations. The book also deals with the applications of fuzzy set theory and fuzzy logic, fuzzy systems and controllers, fuzzy databases, fuzzy decision making and many engineering applications. This book is useful for people interested in fuzzy set theory and fuzzy logic.
|5. “Neuro-Fuzzy and Soft Computing” by Jang J.S.R., Sun C.T. and Mizutani E
Book Review: This book stresses on the theoretical concepts of fuzzy and soft computing and also focuses on empirical observations and verification of various applications. The book contains numerous exercises which are programmed using MATLAB along with practical problem solving. This is a self-study book for many researchers who are interested in learning basic and advanced neuro fuzzy and soft computing within the framework of computational intelligence.
|6. “Fuzzy Logic and Soft Computing” by BOUCHON-MEUNIER BERNADETTE ET. AL.|
|7. “Supervisory Control of Concurrent Systems: A Petri Net Structural Approach” by Panos J Antsaklis|
|8. “Petri Nets and Other Models of Concurrency” by P. S. Thiagarajan, Susanna Donatelli|
|9. “Timed Petri Nets: Theory and Application” by Wang Jiacun|
|10. “Artificial Neural Nets and Genetic Algorithms” by Rudolf F. Albrecht, Colin R. Reeves, Nigel C. Steele|
If any more book needs to be added to the list of best books on Neural Nets, Fuzzy Systems and Applications Subject, please let us know.
Sanfoundry Global Education & Learning Series – Best Reference Books!