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Artificial higher order neural netwo...

IGI Global.

Artificial higher order neural networks for computer science and engineering = trends for emerging applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial higher order neural networks for computer science and engineering/ [edited by] Ming Zhang.
Reminder of title:	trends for emerging applications /
other author:	Zhang, Ming,
Published:	Hershey, Pa. :IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), : 2010.,
Description:	xxv, 634 p. :ill. ; : 29 cm.;
Subject:	Neural networks (Computer science) -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-61520-711-4
ISBN:	9781615207121 (ebook)

Artificial higher order neural networks for computer science and engineering = trends for emerging applications /
Artificial higher order neural networks for computer science and engineeringtrends for emerging applications /[electronic resource] :[edited by] Ming Zhang. - Hershey, Pa. :IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA),2010. - xxv, 634 p. :ill. ;29 cm.

Includes bibliographical references and index.

This book introduces Higher Order Neural Networks (HONNs) to computer scientists and computer engineers as an open box neural networks tool when compared to traditional artificial neural networks. Since HONNs are open box models, they can be easily used in information science, information technology, management, economics, and business. This book details the techniques, theory and applications essential to engaging and capitalizing on this developing technology--Provided by publisher.

Mode of access: World Wide Web.

ISBN: 9781615207121 (ebook)Subjects--Topical Terms:

89772
Neural networks (Computer science)
Subjects--Index Terms:

Higher order neural networks

LC Class. No.: QA76.87 / .A698 2010e

Dewey Class. No.: 006.3/2

Artificial higher order neural networks for computer science and engineering = trends for emerging applications /
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010 $z 2009050067
020 $a 9781615207121 (ebook)
020 $a 9781615207114 (hardcover)
020 $a 9781616922511 (pbk.)
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040 $a CaBNvSL $c CaBNvSL $d CaBNvSL
050 4 $a QA76.87 $b .A698 2010e
082 0 4 $a 006.3/2 $2 22
245 0 0 $a Artificial higher order neural networks for computer science and engineering $h [electronic resource] : $b trends for emerging applications / $c [edited by] Ming Zhang.
260 $a Hershey, Pa. : $c 2010. $b IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA),
300 $a xxv, 634 p. : $b ill. ; $c 29 cm.
504 $a Includes bibliographical references and index.
520 3 $a This book introduces Higher Order Neural Networks (HONNs) to computer scientists and computer engineers as an open box neural networks tool when compared to traditional artificial neural networks. Since HONNs are open box models, they can be easily used in information science, information technology, management, economics, and business. This book details the techniques, theory and applications essential to engaging and capitalizing on this developing technology--Provided by publisher.
538 $a Mode of access: World Wide Web.
650 0 $a Neural networks (Computer science) $3 89772
650 0 $a Computer science $x Data processing. $3 225987
650 0 $a Computer engineering $x Data processing. $3 225988
653 $a Higher order neural networks
653 $a Evolutionary algorithms
653 $a Higher order neural network models for data mining
653 $a Ordinary neural networks vs. higher order neural networks
653 $a Simulation and modeling
653 $a Artificial higher order neural networks for computer engineering
653 $a Hardware implementations of first and higher order neural networks
653 $a Neural network theory and applications
653 $a Neuro fuzzy control schemes and systems
653 $a Artificial tactile sensing and robotic surgery
700 1 $a Zhang, Ming, $d 1949 July 29- $3 225986
710 2 $a IGI Global. $3 225644
776 0 $c (Original) $z 9781615207114 $w (DLC) 2009050067
856 4 8 $3 Chapter PDFs via platform: $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-61520-711-4

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