Fundamentals of Artificial Neural Networks

Analysis and Applications of Artificial Neural Networks  [Scan.] by L. Veelenturf [Repost]

Analysis and Applications of Artificial Neural Networks by L. Veelenturf
English | June 14, 1995 | ISBN: 013489832X | 259 Pages | DJVU | 9 MB

Thorough, compact, and self-contained, this explanation and analysis of a broad range of neural nets is conveniently structured so that readers can first gain a quick global understanding of neural nets – "without" the mathematics – and can then delve into mathematical specifics as necessary.
Principles of Artificial Neural Networks (Advanced Series on Circuits and Systems) by Daniel Graupe [Repost]

Principles of Artificial Neural Networks (Advanced Series on Circuits and Systems) by Daniel Graupe
English | Jan 1997 | ISBN: 9810225164 | 252 Pages | PDF | 16 MB

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 students in electrical engineering, computer science and related fields,
Methods and Procedures for the Verification and Validation of Artificial Neural Networks by Brian J. Taylor [Repost]

Methods and Procedures for the Verification and Validation of Artificial Neural Networks by Brian J. Taylor
English | Nov 17, 2005 | ISBN: 0387282882 | 280 Pages | PDF | 19 MB

Neural networks are members of a class of software that have the potential to enable intelligent computational systems capable of simulating characteristics of biological thinking and learning. Currently no standards exist to verify and validate neural network-based systems.
Principles of Artificial Neural Networks (Advanced Series in Circuits and Systems) by Daniel Graupe [Repost]

Principles of Artificial Neural Networks (Advanced Series in Circuits and Systems) by Daniel Graupe
English | April 5, 2007 | ISBN: 9812706240 | 320 pages | PDF | 3 MB

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 departments. It should also serve as a self-study course for engineers and computer scientists in the industry.

Principles of Artificial Neural Networks, 3rd Edition  

Posted by interes at Feb. 15, 2014
Principles of Artificial Neural Networks, 3rd Edition

Principles of Artificial Neural Networks, 3rd Edition (Advanced Series in Circuits and Systems) by Daniel Graupe
English | 2013 | ISBN: 9814522732 | ISBN-13: 9789814522731 | 383 pages | PDF | 4,8 MB

Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different variables, and/or stochastic. Such problems are abundant in medicine, in finance, in security and beyond.
Principles of Artificial Neural Networks, 2 edition (repost)

Daniel Graupe, "Principles of Artificial Neural Networks, 2 edition"
2007 | ISBN-10: 9812706240 | 320 pages | PDF | 3,5 MB
Methods and Procedures for the Verification and Validation of Artificial Neural Networks (Repost)

Brian J. Taylor, "Methods and Procedures for the Verification and Validation of Artificial Neural Networks"
2005 | pages: 280 | ISBN: 0387282882 | PDF | 19,4 mb

Daniel Graupe, Principles of Artificial Neural Networks  

Posted by Direktor69 at April 13, 2013
 Daniel Graupe, Principles of Artificial Neural Networks

Daniel Graupe, Principles of Artificial Neural Networks
ISBN: 9810225164 | edition 1997 | PDF | 252 pages | 16 mb

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 students in electrical engineering, computer science and related fields, with background in at least one programming language or in a programming tool such as Matlab, and who have taken the basic undergraduate classes in systems or in signal processing.

Elements of Artificial Neural Networks (Repost)  

Posted by bookwyrm at Dec. 11, 2012
Elements of Artificial Neural Networks (Repost)

Elements of Artificial Neural Networks By Kishan Mehrotra, Chilukuri Mohan, Sanjay Ranka
1997 | 360 Pages | ISBN: 0262133288 | CHM | 2 MB

Elements of Artificial Neural Networks  

Posted by lout at Aug. 21, 2011
Elements of Artificial Neural Networks

Elements of Artificial Neural Networks By Kishan Mehrotra, Chilukuri Mohan, Sanjay Ranka
Publisher: The M.I.T Press 1997 | 360 Pages | ISBN: 0262133288 | CHM | 2 MB