Industrial Applications of Neural Networks: Project ANNIE Handbook Research Reports Esprit / Project 2092 ANNIE, Volume 1

Croall, Ian F.:

ISBN 10: 3540558756 / ISBN 13: 9783540558750

Published by Springer Verlag;, 1992

About this Item

297 Seiten Das hier angebotene Buch stammt aus einer teilaufgelösten wissenschaftlichen Bibliothek und trägt die entsprechenden Kennzeichnungen (Rückenschild, Instituts-Stempel.). Schnitt und Einband sind etwas staubschmutzig; Einbandkanten sind leicht bestossen; der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. Sprache: Englisch Gewicht in Gramm: 440.

Seller Inventory # 1452617

Bibliographic Details

• Title: Industrial Applications of Neural Networks: Project ANNIE Handbook Research Reports Esprit / Project 2092 ANNIE, Volume 1
• Publisher: Springer Verlag
• Publication Date: 1992
• Language: English
• ISBN 10: 3540558756
• ISBN 13: 9783540558750
• Binding: Broschiert
• Condition: Gut
• Weight: 440 grams
• Seller catalogs:
  • 401 Nachschlagwerke, Lexika, Wörterbücher

About this title

Synopsis

Neural network technology encompasses a class of methods which attempt to mimic the basic structures used in the brain for information processing. Thetechnology is aimed at problems such as pattern recognition which are difficult for traditional computational methods. Neural networks have potential applications in many industrial areas such as advanced robotics, operations research, and process engineering. This book is concerned with the application of neural network technology to real industrial problems. It summarizes a three-year collaborative international project called ANNIE (Applications of Neural Networks for Industry in Europe) which was jointly funded by industry and the European Commission within the ESPRIT programme. As a record of a working project, the book gives an insight into the real problems faced in taking a new technology from the workbench into a live industrial application, and shows just how it can be achieved. It stresses the comparison between neural networks and conventional approaches. Even the non-specialist reader will benefit from understanding the limitations as well as the advantages of the new technology.