Analysis and Design of Intelligent Systems Using Soft Computing Techniques (Advances in Intelligent and Soft Computing, 41)

Melin, Patricia [Editor]; Castillo, Oscar [Editor]; Ramírez, Eduardo G. [Editor]; Pedrycz, Witold [Editor];

ISBN 10: 3540724311 / ISBN 13: 9783540724315

Editore: Springer, 2006

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Springer Verlag; Berlin, 2007. Trade paperback. A Very Good, binding sturdy and intact, trace handling/scuff marks to covers, bit of cover edge/corner wear, scuff mark on fore-edge, some sunning to page margins, a nice, clean and unmarked copy in wraps. 8vo[octavo or approx. 6 x 9], 855pp., indexed. We pack securely and ship daily w/delivery confirmation on every book. The picture on the listing page is of the actual book for sale. Additional Scan(s) are available for any item, please inquire.Please note: Oversized books/sets MAY require additional postage then what is quoted for 2.2lb book.

Codice articolo SKU1037126

Dati bibliografici

• Titolo: Analysis and Design of Intelligent Systems Using Soft Computing Techniques (Advances in Intelligent and Soft Computing, 41)
• Editore: Springer
• Data di pubblicazione: 2006
• Lingua: Inglese
• ISBN 10: 3540724311
• ISBN 13: 9783540724315
• Rilegatura: paperback
• Condizione: Very Good
• Cataloghi dei venditori:
  • Math Text Books

Descrizione articolo

Riassunto

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.

Dalla quarta di copertina

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.