Principles Of Artificial Neural Networks

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Principles of Artificial Neural Networks
Language: en
Pages: 382
Authors: Daniel Graupe
Categories: Computers
Type: BOOK - Published: 2013 - Publisher: World Scientific

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Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different variables, and/or stoch
Principles Of Artificial Neural Networks (2nd Edition)
Language: en
Pages: 320
Authors: Daniel Graupe
Categories: Computers
Type: BOOK - Published: 2007-04-05 - Publisher: World Scientific

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The book should serve as a text for a university graduate course or for an advanced undergraduate course on neural networks in engineering and computer science
Principles Of Artificial Neural Networks: Basic Designs To Deep Learning (4th Edition)
Language: en
Pages: 439
Authors: Daniel Graupe
Categories: Computers
Type: BOOK - Published: 2019-03-15 - Publisher: World Scientific

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The field of Artificial Neural Networks is the fastest growing field in Information Technology and specifically, in Artificial Intelligence and Machine Learning
Artificial Neural Networks
Language: en
Pages: 184
Authors: Kevin L. Priddy
Categories: Computers
Type: BOOK - Published: 2005 - Publisher: SPIE Press

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This tutorial text provides the reader with an understanding of artificial neural networks (ANNs), and their application, beginning with the biological systems
Principles of Artificial Neural Networks
Language: en
Pages: 256
Authors: Daniel Graupe
Categories: Mathematics
Type: BOOK - Published: 1997-05-01 - Publisher: World Scientific

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This textbook is intended for a first-year graduate course on Artificial Neural Networks. It assumes no prior background in the subject and is directed to MS st