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Neural Networks - new book

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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 br… More...

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Neural Networks - Berndt Müller/ Joachim Reinhardt/ Michael T. Strickland
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Neural Networks ab 82.49 € als pdf eBook: An Introduction. Aus dem Bereich: eBooks, Fachthemen & Wissenschaft, Wissenschaften allgemein, Medien > Bücher nein eBook als pdf eBooks > Fachth… More...

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Berndt Müller/ Joachim Reinhardt/ Michael T. Strickland:
Neural Networks - new book

ISBN: 9783642577604

Neural Networks - An Introduction. 2nd ed. 1995: ab 53.49 € eBooks > Fachthemen & Wissenschaft > Wissenschaften allgemein Springer Berlin Heidelberg eBook als pdf, Springer Berlin Heidelberg

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Berndt Müller/ Joachim Reinhardt/ Michael T. Strickland:
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Neural Networks - Berndt Müller/ Joachim Reinhardt/ Michael T. Strickland
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Berndt Müller/ Joachim Reinhardt/ Michael T. Strickland:
Neural Networks - new book

ISBN: 9783642577604

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Neural Networks
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9783642577604

Details of the book - Neural Networks


EAN (ISBN-13): 9783642577604
Publishing year: 2012
Publisher: Springer Berlin Heidelberg

Book in our database since 2016-11-29T17:01:51+00:00 (London)
Detail page last modified on 2024-03-12T08:20:18+00:00 (London)
ISBN/EAN: 9783642577604

ISBN - alternate spelling:
978-3-642-57760-4
Alternate spelling and related search-keywords:
Book author: müller michael, reinhardt, joachim müller, strickland, berndt und
Book title: neural networks

Information from Publisher

Author: Berndt Müller
Title: Physics of Neural Networks; Neural Networks - An Introduction
Publisher: Springer; Springer Berlin
331 Pages
Publishing year: 2012-12-06
Berlin; Heidelberg; DE
Printed / Made in
Language: English
55,00 € (DE)

EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; Nervous System; algorithms; evolutionary algorithm; genetic algorithms; learning; neurons; optimization; statistical physics; C; Artificial Intelligence; Complex Systems; Neurosciences; Statistical Physics and Dynamical Systems; Artificial Intelligence; Complex Systems; Neuroscience; Theoretical, Mathematical and Computational Physics; Physics and Astronomy; Kybernetik und Systemtheorie; Neurowissenschaften; Mathematische Physik; BC

The concepts of neural-network models and techniques of parallel distributed processing are comprehensively presented in a three-step approach: - After a brief overview of the neural structure of the brain and the history of neural-network modeling, the reader is introduced to associative memory, preceptrons, feature-sensitive networks, learning strategies, and practical applications. - The second part covers more advanced subjects such as the statistical physics of spin glasses, the mean-field theory of the Hopfield model, and the "space of interactions" approach to the storage capacity of neural networks. - In the self-contained final part, seven programs that provide practical demonstrations of neural-network models and their learning strategies are discussed. The software is included on a 3 1/2-inch MS-DOS diskette. The source code can be modified using Borland's TURBO-C 2.0 compiler, the Microsoft C compiler (5.0), or compatible compilers.
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