an Introduction to Neural Information Processing

An Introduction to Neural Information Processing  

Posted by Underaglassmoon at Dec. 25, 2015
An Introduction to Neural Information Processing

An Introduction to Neural Information Processing
Springer | Neuroscience | January 23, 2016 | ISBN-10: 9401773912 | 330 pages | pdf | 13.6 mb

Authors: Liang, Peiji, Wu, Si, Gu, Fanji
Clearly illustrates neural information processing models at different levels from single cell to the network
​Provided with ample illustrations Written by experts in this field​

An Introduction to Natural Language Processing Through Prolog 1st Edition  eBooks & eLearning

Posted by alt_f4 at May 2, 2016
An Introduction to Natural Language Processing Through Prolog 1st Edition

An Introduction to Natural Language Processing Through Prolog (Learning about Language) by Clive Matthews
English | Aug. 24, 1998 | ISBN: 0582066220 | 312 Pages | PDF | 14 MB

Research into Natural Language Processing - the use of computers to process language - has developed over the last couple of decades into one of the most vigorous and interesting areas of current work on language and communication. This book introduces the subject through the discussion and development of various computer programs which illustrate some of the basic concepts and techniques in the field.
An Introduction to Neural Network Methods for Differential Equations (repost)

Neha Yadav, Anupam Yadav, "An Introduction to Neural Network Methods for Differential Equations"
2015 | ISBN-10: 940179815X | 114 pages | PDF | 4 MB
An Introduction to XML Query Processing and Keyword Search [Repost]

Jiaheng Lu - An Introduction to XML Query Processing and Keyword Search
Published: 2013-03-16 | ISBN: 3642345549, 3642446078 | PDF | 292 pages | 3 MB

An Introduction to Neural Network Methods for Differential Equations  

Posted by Underaglassmoon at March 19, 2015
An Introduction to Neural Network Methods for Differential Equations

An Introduction to Neural Network Methods for Differential Equations
Springer | Neural Networks, Applied Mathematics, Mathematical Physics | Feb. 27 2015 | ISBN-10: 940179815X | 114 pages | pdf | 4.08 mb

This book introduces a variety of neural network methods for solving differential equations arising in science and engineering.
Neurolinguistics: An Introduction to Spoken Language Processing and its Disorders (repost)

Neurolinguistics: An Introduction to Spoken Language Processing and its Disorders by John C. L. Ingram
English | 2007 | ISBN-10: 0521791901 | ISBN-13: 9780521791908 | PDF | 442 pages | 4 Mb

What biological factors make human communication possible? How do we process and understand language? How does brain damage affect these mechanisms, and what can this tell us about how language is organized in the brain? The field of neurolinguistics seeks to answer these questions, which are crucial to linguistics, psychology and speech pathology alike.
Gateway to Memory: An Introduction to Neural Network Modeling of the Hippocampus and Learning (repost)

Mark A Gluck, "Gateway to Memory: An Introduction to Neural Network Modeling of the Hippocampus and Learning"
2001 | ISBN-10: 0262072114, 0262571528 | 464 pages | Djvu | 3 MB

Building Brains: An Introduction to Neural Development  

Posted by arundhati at Aug. 25, 2014
Building Brains: An Introduction to Neural Development

David Price, Andrew P. Jarman, John O. Mason, "Building Brains: An Introduction to Neural Development"
2011 | ISBN-10: 0470712295, 0470712309 | 348 pages | PDF | 122 MB
Building Enterprise Systems with ODP: An Introduction to Open Distributed Processing (repost)

Peter F. Linington, "Building Enterprise Systems with ODP: An Introduction to Open Distributed Processing"
2011 | ISBN: 1439866252 | 284 pages | PDF | 4 MB
James A. Anderson, "An Introduction to Neural Networks"

James A. Anderson, "An Introduction to Neural Networks"
Publisher: MIT Press | 1997 | ISBN: 0262510812 | English | PDF | 650 pages | 29.8 Mb

'An Introduction to Neural Networks' falls into a new ecological niche for texts. Based on notes that have been class-tested for more than a decade, it is aimed at cognitive science and neuroscience students who need to understand brain function in terms of computational modeling, and at engineers who want to go beyond formal algorithms to applications and computing strategies…