Soft Computing Applications in Optimization, Control, and Recognition
By: edited by Patricia Melin, Oscar Castillo
Contributors: Castillo, Oscar; SpringerLink (Online service)
Series: Studies in Fuzziness and Soft Computing -- 294
Publisher: Springer Berlin Heidelberg; Imprint: Springer
Published: 2013
Place of publication: Berlin, Heidelberg
Language: eng
Format: [electronic resource] /
Number of pages: 388
ISBN-13: 9783642353239
Subjects: Pattern perception; Engineering; Artificial Intelligence (incl. Robotics); Optical pattern recognition; Computational intelligence; Artificial intelligence
Description: <p>Soft computing includes several intelligent computing paradigms, like fuzzy logic, neural networks, and bio-inspired optimization algorithms. This book describes the application of soft computing techniques to intelligent control, pattern recognition, and optimization problems. The book is organized in four main parts. The first part deals with nature-inspired optimization methods and their applications. Papers included in this part propose new models for achieving intelligent optimization in different application areas. The second part discusses hybrid intelligent systems for achieving control. Papers included in this part make use of nature-inspired techniques, like evolutionary algorithms, fuzzy logic and neural networks, for the optimal design of intelligent controllers for different kind of applications. Papers in the third part focus on intelligent techniques for pattern recognition and propose new methods to solve complex pattern recognition problems. The fourth part discusses new theoretical concepts and methods for the application of soft computing to many different areas, such as natural language processing, clustering and optimization.</p>
Table of contents: title: Part I Optimization Methods and Applications; title: Part II Soft Computing in Intelligent Control Applications; title: Part III Soft Computing in Pattern Recognition Applications; title: Part IV Soft Computing: Theory and new Models.