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.

Artificial Neural Networks - ICANN 2010 (repost)  eBooks & eLearning

Posted by interes at Nov. 18, 2016
Artificial Neural Networks - ICANN 2010 (repost)

Artificial Neural Networks - ICANN 2010 by Konstantinos Diamantaras, Wlodek Duch, Lazaros S. Iliadis
English | 2010 | ISBN: 3642158218 | 543 pages | PDF | 11 MB