[PDF.33ln] Principles of Neurocomputing for Science and Engineering

Principles of Neurocomputing for Science and Engineering

[PDF.tt14] Principles of Neurocomputing for Science and Engineering

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 | #2844675 in Books |  2000-09-29 | Original language:English | PDF # 1 |  9.20 x1.20 x7.40l,2.55 | File type: PDF | 642 pages

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||1 of 1 people found the following review helpful.| Best neural network textbook for beginners|By C. Chen|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|About the Author|Fred Ham is a professor at the Florida Institute of Technology.

Ivica Kostanic works at SAFCO Technologies Inc.

* 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
* Incorporates many detailed examples and an extensive set of end-of-chapter problems

You easily download any file type for your gadget.Principles of Neurocomputing for Science and Engineering   |  Fredric M. Ham, Ivica Kostanic. I was recommended this book by a dear friend of mine.

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