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Neural Networks: An Introduction (Physics of Neural Networks)

Berndt Müller, Joachim Reinhardt, Michael T. Strickland




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 | #1461451 in Books |  Springer |  2013-10-04 |  2013-10-04 | Original language:English | PDF # 1 |  9.25 x.79 x6.10l,1.29 | File type: PDF | 331 pages

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||6 of 6 people found the following review helpful.| Perfect for beginners|By Roberto Castro Alamino|This book have the basics of neural networks (NN) treated at undergraduate level adequated to students of physics, mathematics or engineering. The relevant concepts are all explained and it recquires no previous knowledge in the area from the reader. It is a perfect introduction to the theory of neural networks for those who are i| |"I have enjoyed using the previous edition of this well-known book both as a personal text and as a class manual. Although it claims to be only an introduction, it contains a wealth of material and addresses real problems in physics." Computing s|

Neural Networks presents concepts of neural-network models and techniques of parallel distributed processing in a three-step approach: - A brief overview of the neural structure of the brain and the history of neural-network modeling introduces to associative memory, preceptrons, feature-sensitive networks, learning strategies, and practical applications. - The second part covers subjects like statistical physics of spin glasses, the mean-field theory of the Hopfi...

You can specify the type of files you want, for your device.Neural Networks: An Introduction (Physics of Neural Networks)   |  Berndt Müller, Joachim Reinhardt, Michael T. Strickland. I was recommended this book by a dear friend of mine.

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