Posted by **roxul** at July 23, 2016

English | ISBN: 3319284932 | 2016 | 482 pages | PDF | 14 MB

Posted by **naag** at March 27, 2017

2017 | English | ISBN-10: 1543268722 | 94 pages | PDF + EPUB (conv) | 1 Mb

Posted by **exLib** at Oct. 22, 2016

ITexLi | 2016 | ISBN: 9535127055 9789535127055 9535127047 9789535127048 | 409 pages | PDF | 88 MB

This is a current book on Artificial Neural Networks and Applications, bringing recent advances in the area to the reader interested in this always-evolving machine learning technique.

Posted by **AlenMiler** at Feb. 16, 2016

English | Feb. 11, 2016 | ASIN: B01BOYYWP4 | 243 Pages | AZW3/MOBI/EPUB/PDF (conv) | 22.91 MB

An intelligent system is one which exhibits characteristics including, but not limited to, learning, adaptation, and problem-solving. Artificial Neural Network (ANN) Systems are intelligent systems designed on the basis of statistical models of learning that mimic biological systems such as the human central nervous system.

Posted by **alt_f4** at Sept. 24, 2015

English | June 7, 2011 | ISBN: 3642214304 | 113 Pages | PDF | 1 MB

This brief monograph is the first one to deal exclusively with the quantitative approximation by artificial neural networks to the identity-unit operator. Here we study with rates the approximation properties of the "right" sigmoidal and hyperbolic tangent artificial neural network positive linear operators.

Posted by **ChrisRedfield** at Aug. 4, 2015

Published: 2012-10-18 | ISBN: 3642344240, 3642432107 | PDF | 134 pages | 2 MB

Posted by **ChrisRedfield** at Feb. 14, 2014

Published: 2010-08-21 | ISBN: 9048185807 | PDF | 600 pages | 15 MB

Posted by **nebulae** at Jan. 1, 2014

English | ISBN: 9048185807 | 2010 | PDF | 617 pages | 18 MB

Posted by **nebulae** at Nov. 9, 2013

English | ISBN: 3642344240 | 2013 | 150 pages | PDF | 3 MB

Posted by **exLib** at Jan. 16, 2013

InTeOp | 2013 | ISBN: 9535109358 9789535109358 | 264 pages | PDF | 11 MB

The purpose of this book is to provide recent advances of architectures, methodologies, and applications of artificial neural networks. This book will be a fundamental source of recent advances and applications of artificial neural networks. The target audience of this book includes college and graduate students, and engineers in companies.