Neural Network Engineering in Dynamic Control Systems

Kenneth J. Hunt (u. a.)

ISBN 10: 1447130685 / ISBN 13: 9781447130680

Published by Springer, 2011

About this Item

Neural Network Engineering in Dynamic Control Systems | Kenneth J. Hunt (u. a.) | Taschenbuch | xiv | Englisch | 2011 | Springer | EAN 9781447130680 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 105630994

Bibliographic Details

• Title: Neural Network Engineering in Dynamic Control Systems
• Publisher: Springer
• Publication Date: 2011
• Language: English
• ISBN 10: 1447130685
• ISBN 13: 9781447130680
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 17D millimeters 235 millimeters width by 155 millimeters height by 17 millimeters depth
• Weight: 452 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology impacts all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies, .... , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. Within the control community there has been much discussion of and interest in the new Emerging Technologies and Methods. Neural networks along with Fuzzy Logic and Expert Systems is an emerging methodology which has the potential to contribute to the development of intelligent control technologies. This volume of some thirteen chapters edited by Kenneth Hunt, George Irwin and Kevin Warwick makes a useful contribution to the literature of neural network methods and applications. The chapters are arranged systematically progressing from theoretical foundations, through the training aspects of neural nets and concluding with four chapters of applications. The applications include problems as diverse as oven tempera­ ture control, and energy/load forecasting routines. We hope this interesting but balanced mix of material appeals to a wide range of readers from the theoretician to the industrial applications engineer.