Learning Systems and Intelligent Robots

K. Fu

ISBN 10: 1468421085 / ISBN 13: 9781468421088

Published by Springer, 2012

About this Item

Learning Systems and Intelligent Robots | K. Fu | Taschenbuch | x | Englisch | 2012 | Springer | EAN 9781468421088 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 105628258

Bibliographic Details

• Title: Learning Systems and Intelligent Robots
• Publisher: Springer
• Publication Date: 2012
• Language: English
• ISBN 10: 1468421085
• ISBN 13: 9781468421088
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 254W x 178H x 25D millimeters 254 millimeters width by 178 millimeters height by 25 millimeters depth
• Weight: 866 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This book contains the Proceedings of the S~cond U. S. -Japan Seminar on Learning Control and Intelligent Control. The seminar, held at Gainesville, Florida, from October 22 to 26, 1973, was sponsored by the U. S. -Japan Cooperative Science Program, jointly supported by the National Science Foundation and the Japan Society for the Promotion of Science. The full texts of the twenty-one presented papers are included. The papers cover a variety of topics related to learning control and intelligent control, ranging from pattern recognition to system identification, from learning control to intelligent robots. During the past decade, there has been a considerable increase of interest in problems of machine learning, systems which exhibit learning behavior. In designing a system, if the a priori infor­ mation required is unknown or incompletely known, one approach is to design a system which is capable of learning the unknown infor­ mation during its operation. The learned information will then be used to improve the system's performance. This approach has been used in the design of pattern recognition systems, automatic control systems and system identification algorithms. If we naturally extend our goal to the design of systems which will behave more and more intelligently, learning systems research is only a preliminary step towards a general concept of integrated intelligent systems. One example of this class of systems is the intelligent robot, which integrates pattern recognition. learning and problem-solving into one intelligent system.