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System and circuit design for biolog...

IGI Global.

System and circuit design for biologically-inspired learning

Record Type:	Electronic resources : Monograph/item
Title/Author:	System and circuit design for biologically-inspired learningTurgay Temel, editor.
other author:	Temel, Turgay,
Published:	Hershey, Pa. :IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA),c2011.
Description:	xxi, 389 p. :ill. ;29 cm.
Subject:	Neural networks (Computer science)
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-60960-018-1
ISBN:	9781609600204 (ebook)

System and circuit design for biologically-inspired learning
System and circuit design for biologically-inspired learning[electronic resource] /Turgay Temel, editor. - Hershey, Pa. :IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA),c2011. - xxi, 389 p. :ill. ;29 cm.

Includes bibliographical references.

"The objective of the book is to introduce and bring together well-known circuit design aspects, as well as to cover up-to-date outcomes of theoretical studies in decision-making, biologically-inspired, and artificial intelligent learning techniques"--Provided by publisher.

Mode of access: World Wide Web.

ISBN: 9781609600204 (ebook)Subjects--Topical Terms:

181982
Neural networks (Computer science)
Subjects--Index Terms:

Biologically-inspired learning and intelligent system modeling

LC Class. No.: QA76.87 / .S97 2011eb

Dewey Class. No.: 006.3/2

System and circuit design for biologically-inspired learning
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245 0 0 $a System and circuit design for biologically-inspired learning $h [electronic resource] / $c Turgay Temel, editor.
260 $a Hershey, Pa. : $b IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), $c c2011.
300 $a xxi, 389 p. : $b ill. ; $c 29 cm.
504 $a Includes bibliographical references.
520 3 $a "The objective of the book is to introduce and bring together well-known circuit design aspects, as well as to cover up-to-date outcomes of theoretical studies in decision-making, biologically-inspired, and artificial intelligent learning techniques"--Provided by publisher.
538 $a Mode of access: World Wide Web.
650 0 $a Neural networks (Computer science) $3 181982
650 0 $a Biologically-inspired computing. $3 283996
650 0 $a Logic circuits. $3 182233
653 $a Biologically-inspired learning and intelligent system modeling
653 $a Representation of neuro-information and knowledge
653 $a Recurrent neural networks
653 $a Self-organizing fuzzy neural network training
653 $a Neuromodeling and natural optimization
653 $a DCGA optimization techniques
653 $a Parallel hardware for artificial neural networks
653 $a Neural network circuits
653 $a Analog circuit design with fuzzy inference
653 $a Implantable neural decoders
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