Artificial Neural Network

Artificial Neural Network Modelling  eBooks & eLearning

Posted by roxul at July 23, 2016
Artificial Neural Network Modelling

Subana Shanmuganathan and Sandhya Samarasinghe, "Artificial Neural Network Modelling"
English | ISBN: 3319284932 | 2016 | 482 pages | PDF | 14 MB

"Artificial Neural Networks: Models and Applications" ed. by Joao Luis G. Rosa  eBooks & eLearning

Posted by exLib at Oct. 22, 2016
"Artificial Neural Networks: Models and Applications" ed. by Joao Luis G. Rosa

"Artificial Neural Networks: Models and Applications" ed. by Joao Luis G. Rosa
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.

Artificial Neural Systems: Principle and Practice  eBooks & eLearning

Posted by AlenMiler at Feb. 16, 2016
Artificial Neural Systems: Principle and Practice

Artificial Neural Systems: Principle and Practice by Pierre Lorrentz
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.

Intelligent Systems: Approximation by Artificial Neural Networks  eBooks & eLearning

Posted by alt_f4 at Sept. 24, 2015
Intelligent Systems: Approximation by Artificial Neural Networks

Intelligent Systems: Approximation by Artificial Neural Networks (Intelligent Systems Reference Library) by George A. Anastassiou
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.

Hierarchical Neural Network Structures for Phoneme Recognition [Repost]  eBooks & eLearning

Posted by ChrisRedfield at Aug. 4, 2015
Hierarchical Neural Network Structures for Phoneme Recognition [Repost]

Daniel Vasquez, Rainer Gruhn, Wolfgang Minker - Hierarchical Neural Network Structures for Phoneme Recognition
Published: 2012-10-18 | ISBN: 3642344240, 3642432107 | PDF | 134 pages | 2 MB
Applications of Mathematics in Models, Artificial Neural Networks and Arts: Mathematics and Society [Repost]

Vittorio Capecchi, Massimo Buscema, Pierluigi Contucci, Bruno D'Amore - Applications of Mathematics in Models, Artificial Neural Networks and Arts: Mathematics and Society
Published: 2010-08-21 | ISBN: 9048185807 | PDF | 600 pages | 15 MB
Applications of Mathematics in Models, Artificial Neural Networks and Arts: Mathematics and Society (Repost)

Vittorio Capecchi, Massimo Buscema, Pierluigi Contucci, Bruno D'Amore, "Applications of Mathematics in Models, Artificial Neural Networks and Arts: Mathematics and Society"
English | ISBN: 9048185807 | 2010 | PDF | 617 pages | 18 MB

Hierarchical Neural Network Structures for Phoneme Recognition  eBooks & eLearning

Posted by nebulae at Nov. 9, 2013
Hierarchical Neural Network Structures for Phoneme Recognition

Daniel Vasquez, "Hierarchical Neural Network Structures for Phoneme Recognition"
English | ISBN: 3642344240 | 2013 | 150 pages | PDF | 3 MB
"Artificial Neural Networks: Architectures and Applications" ed. by Kenji Suzuki

"Artificial Neural Networks: Architectures and Applications" ed. by Kenji Suzuki
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.

Neural Network Programming with Java - Second Edition  eBooks & eLearning

Posted by AlenMiler at March 25, 2017
Neural Network Programming with Java - Second Edition

Neural Network Programming with Java - Second Edition by Fabio M. Soares
English | 14 Mar. 2017 | ASIN: B01N0NUA2J | 270 Pages | AZW3 | 8.43 MB