[PDF.81sq] Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering (Computational Intelligence)

Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering (Computational Intelligence)

[PDF.fm49] Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering (Computational Intelligence)

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 | #1570591 in Books |  MIT Press |  1996-10-11 | Ingredients: Example Ingredients | Original language:English | PDF # 1 |  1.59 x7.42 x9.37l, | File type: PDF | 568 pages

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||3 of 4 people found the following review helpful.| I was impressed with this book|By Mariofanna Milanova|The author has performed an excellent job in explaining the fundamental ideas and practical methods of different AI techniques. AI problems in the field ( pattern recognition, speech and image processing, classification, planning, optimization, control, time-series and analogy-based prediction, diagnosis, decision making and|.com |Here we have a comprehensive, problem-oriented, engineering perspective on the uses of neural nets, fuzzy systems, and hybrids that emphasizes practical solutions to everyday artificial intelligence (AI) problems over abstract theoretical noodling. Intend

Neural networks and fuzzy systems are different approaches to introducing human-like reasoning into expert systems. This text is the first to combine the study of these two subjects, their basics and their use, along with symbolic AI methods to build comprehensive artificial intelligence systems.

In a clear and accessible style, Kasabov describes rule- based and connectionist techniques and then their combinations, with fuzzy logic included, showing the appl...

You can specify the type of files you want, for your gadget.Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering (Computational Intelligence)   |  Nikola K. Kasabov. A good, fresh read, highly recommended.

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