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Principles Of Neurocomputing For Science And Engineering
Unlike other neural network books, this is written specifically for scientists and engineers who want to apply neural networks to solve complex problems. For each neurocomputing concept, a solid mathematical foundation is presented along with illustrative examples to accompany that particular architecture and associated training algorithm. It incorporates many detailed exa ...more
Hardcover, 642 pages
Published September 29th 2000 by McGraw-Hill Science/Engineering/Math
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This is definitely a must read for all NN beginners. In my opinion, this book is very well organized. First, it puts theoretical stuff and applicaiton examples into separate parts (Part I&II). Second, in Part I, it starts with basic constituents of NNs: one neuron NN, activation fucntion, learning rule,...and then covers NNs of more large-scale types. Within each type, it describes the most rudementary or prototype NN first, supplements info regarding other variants next, and mentions the is ...more