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Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering
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Intended for upper-division students and graduate students who need a solid grounding in engineering knowledge, Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering is still useful as a reference for professionals and even as a text for advanced students at a lower level. Taking a variety of problems such as soil classification and speech recognition, Kasabov shows the relative merits and failures of different architectures and hybrids through the examples and problems to solve. The next chapters examine the details of fuzzy systems, neural networks, hybrid, and new models. Foundation assumes a good understanding of undergraduate mathematics; those who want to fully explore their own problems to obtain the necessary software for free via anonymous FTP.
Computer eBook Details
- ISBN-10: 0262112124
- ISBN-13: 9780262112123
- Publisher: The MIT Press
- Pages: 568
- Date: October 1996