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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Neural Networks: An Introduction

Neural Networks: An Introduction

Strickland, Michael T.
Reinhardt, Joachim
Müller, Berndt

Paperback

Series: Physics of Neural Networks

General Computers

ISBN10: 3540602070
ISBN13: 9783540602071
Publisher: Springer
Published: Oct 2 1995
Pages: 331
Weight: 1.29
Height: 0.84 Width: 6.08 Depth: 9.20
Language: English
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 Hopfield model, and the space of interactions approach to the storage capacity of neural networks. - The final part discusses nine programs with practical demonstrations of neural-network models. The software and source code in C are on a 3 1/2 MS-DOS diskette can be run with Microsoft, Borland, Turbo-C, or compatible compilers.

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General Computers

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