Download Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence PDF Free - Full Version
Download Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence by Jyh-Shing Roger Jang, Chuen-Tsai Sun, Eiji Mizutani in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence
Neuro-Fuzzy Modeling and Soft Computing places particular emphasis on the theoretical aspects of covered methodologies, as well as empirical observations and verifications of various applications in practice. Neuro-Fuzzy Modeling and Soft Computing is oriented toward methodologies that are likely to be of practical use. It includes exercises, some of which involve MATLAB programming tasks to provide readers with hands-on programming experiences for practical problem-solving. Each chapter also includes a reference list to the research literature so that readers may pursue topics in greater depth. This book is suitable as a self-study guide by researchers who want to learn basic and advanced neuro-fuzzy and soft computing within the framework of computational intelligence.
Detailed Information
| Author: | Jyh-Shing Roger Jang, Chuen-Tsai Sun, Eiji Mizutani |
|---|---|
| Publication Year: | 1997 |
| ISBN: | 9780132610667 |
| Pages: | 640 |
| Language: | English |
| File Size: | 32.472 |
| Format: | |
| Price: | FREE |
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