Analysis and Design of Intelligent Systems Using Soft Computing Techniques (Advances in Intelligent and Soft Computing) [Paperback]

Patricia Melin (Editor), Oscar Castillo (Editor), Eduardo G. Ramírez (Editor), Witold Pedrycz (Editor)

Book Description

Publication Date: July 11, 2007 | ISBN-10: 3540724311 | ISBN-13: 978-3540724315 | Edition: 1

This book comprises a selection of papers on new methods for analysis and design of hybrid intelligent systems using soft computing techniques from the IFSA 2007 World Congress, held in Cancun, Mexico, June 2007.

Editorial Reviews

From the Back Cover

This book comprises a selection of papers from IFSA 2007 on new methods for analysis and design of hybrid intelligent systems using soft computing techniques. Soft Computing (SC) consists of several computing paradigms, including fuzzy logic, neural networks, and genetic algorithms, which can be used to produce powerful hybrid intelligent systems for solving problems in pattern recognition, time series prediction, intelligent control, robotics and automation. Hybrid intelligent systems that combine several SC techniques are needed due to the complexity and high dimensionality of real-world problems. Hybrid intelligent systems can have different architectures, which have an impact on the efficiency and accuracy of these systems, for this reason it is very important to optimize architecture design. The architectures can combine, in different ways, neural networks, fuzzy logic and genetic algorithms, to achieve the ultimate goal of pattern recognition, time series prediction, intelligent control, or other application areas.

Product Details

• Paperback: 876 pages
• Publisher: Springer; 1 edition (July 11, 2007)
• Language: English
• ISBN-10: 3540724311
• ISBN-13: 978-3540724315
• Product Dimensions: 9.1 x 6.1 x 1.3 inches
• Shipping Weight: 2.7 pounds (View shipping rates and policies)
• Amazon Best Sellers Rank: #9,374,115 in Books (See Top 100 in Books)