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Principles of artificial neural networks Daniel Graupe

By: Material type: TextTextSeries: Advanced series on circuits and systems ; volume 7Publication details: New Jersey : World Scientific, 2013.Edition: 3rd edDescription: xviii, 363 p. : ill. ; 26 cmISBN:
  • 9789814522731
Subject(s): DDC classification:
  • 006.3/2
Online resources: Summary: This volume covers the basic theory and architecture of the major artificial neural networks. Uniquely, it presents 18 complete case studies of applications of neural networks in various fields, ranging from cell-shape classification to micro-trading in finance and to constellation recognition all with their respective source codes. These case studies demonstrate to the readers in detail how such case studies are designed and executed and how their specific results are obtained.
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Holdings
Item type Current library Call number Status Date due Barcode
REGULAR University of Wollongong in Dubai Main Collection 006.32 GR PR (Browse shelf(Opens below)) Available T0013394

Includes bibliographical references (p. 349-356) and indexes.

This volume covers the basic theory and architecture of the major artificial neural networks. Uniquely, it presents 18 complete case studies of applications of neural networks in various fields, ranging from cell-shape classification to micro-trading in finance and to constellation recognition all with their respective source codes. These case studies demonstrate to the readers in detail how such case studies are designed and executed and how their specific results are obtained.

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