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For practicing and student engineers, physicist Priddy and electrical engineer Keller introduce artificial neural networks without bogging down the principles in mathematics, which are presented in appendices in sufficient detail for most of the common neural network algorithms. Among the topics are learning methods, data normalization, output coding, unsupervised training methods, recurrent neural networks, a number of applications, and dealing with limit amounts of data. Annotation ©2005 Book News, Inc., Portland, OR
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| $99.99 | Digital |
| WonderClub |
Katherine Harrop
reviewed Artificial Neural Networks: An Introduction on November 03, 2014
Artificial Neural Networks: An Introduction
This book is an excellent introduction to the topic of independent component analysis. Though it covers this topic using a rigorous mathematical apparatus, it does so by repeating difficult or unusual issues many times and by giving real-worl examples.
I recommend it to everyone who is just starting to learn about ICA.
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