Amazon cover image
Image from Amazon.com

Neural networks and computing : learning algorithms and applications / Tommy W.S. Chow, Siu-Yeung Cho.

By: Contributor(s): Material type: TextTextSeries: Series in electrical and computer engineering ; v. 7.Publication details: London : Imperial College Press ; Singapore ; Hackensack, NJ : Distributed by World Scientific, 2007.Description: 1 online resource (xii, 309 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781860949692
  • 186094969X
  • 1281869457
  • 9781281869456
  • 9786611869458
  • 661186945X
Subject(s): Genre/Form: Additional physical formats: Print version:: Neural networks and computing.DDC classification:
  • 006.3/2 22
LOC classification:
  • QA76.87 .C48 2007eb
Online resources:
Contents:
Introduction -- Learning performance and enhancement -- Generalization and performance enhancement -- Basis function networks for classification -- Self-organizing maps -- Classification and feature selection -- Engineering applications.
Summary: This book covers neural networks with special emphasis on advanced learning methodologies and applications. It includes practical issues of weight initializations, stalling of learning, and escape from a local minima, which have not been covered by many existing books in this area. Additionally, the book highlights the important feature selection problem, which baffles many neural networks practitioners because of the difficulties handling large datasets. It also contains several interesting IT, engineering and bioinformatics applications.
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
eBook eBook e-Library EBSCO Computers Available
Total holds: 0

Some online versions lack accompanying media packaged with the printed version.

Includes bibliographical references (pages 291-304) and index.

Introduction -- Learning performance and enhancement -- Generalization and performance enhancement -- Basis function networks for classification -- Self-organizing maps -- Classification and feature selection -- Engineering applications.

Print version record.

This book covers neural networks with special emphasis on advanced learning methodologies and applications. It includes practical issues of weight initializations, stalling of learning, and escape from a local minima, which have not been covered by many existing books in this area. Additionally, the book highlights the important feature selection problem, which baffles many neural networks practitioners because of the difficulties handling large datasets. It also contains several interesting IT, engineering and bioinformatics applications.

English.

WorldCat record variable field(s) change: 650

Powered by Koha