[PDF.60us] Self-Organizing Map Formation: Foundations of Neural Computation (Computational Neuroscience)

Self-Organizing Map Formation: Foundations of Neural Computation (Computational Neuroscience)

[PDF.jl76] Self-Organizing Map Formation: Foundations of Neural Computation (Computational Neuroscience)

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 | #1182153 in Books |  2001-10-01 | Original language:English | PDF # 1 |  9.00 x1.00 x6.00l,1.36 | File type: PDF | 415 pages

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||0 of 0 people found the following review helpful.| Five Stars|By Lappoon Rupert Tang|Good book upon arrival, timing was good|About the Author||Klaus Obermayer is Professor of Computer Science and head of the Neural Information Processing Group at the Technical University of Berlin.

This book provides an overview of self-organizing map formation, including recent developments. Self-organizing maps form a branch of unsupervised learning, which is the study of what can be determined about the statistical properties of input data without explicit feedback from a teacher. The articles are drawn from the journal Neural Computation.The book consists of five sections. The first section looks at attempts to model the organization of cortical maps and at ...

You can specify the type of files you want, for your gadget.Self-Organizing Map Formation: Foundations of Neural Computation (Computational Neuroscience)   |  From A Bradford Book.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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