This book comprises a selection of papers from IFSA 2007 on new methods for ana- sis and design of hybrid intelligent systems using soft computing techniques. Soft Computing (SC) consists of several computing paradigms, including fuzzy logic, n- ral 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…mehr
This book comprises a selection of papers from IFSA 2007 on new methods for ana- sis and design of hybrid intelligent systems using soft computing techniques. Soft Computing (SC) consists of several computing paradigms, including fuzzy logic, n- ral 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. This book is intended to be a major reference for scientists and engineers interested in applying new computational and mathematical tools to design hybrid intelligent systems. This book can also be used as a reference for graduate courses like the f- lowing: soft computing, intelligent pattern recognition, computer vision, applied ar- ficial intelligence, and similar ones. The book is divided in to twelve main parts. Each part contains a set of papers on a common subject, so that the reader can find similar papers grouped together.
Artikelnr. des Verlages: 12060320, 978-3-540-72431-5
2007
Seitenzahl: 880
Erscheinungstermin: 5. Juni 2007
Englisch
Abmessung: 235mm x 155mm x 47mm
Gewicht: 1312g
ISBN-13: 9783540724315
ISBN-10: 3540724311
Artikelnr.: 22817717
Autorenporträt
Patricia Melin, Tijuana Institute of Technology, Tijuana, Mexico / Oscar Castillo, Tijuana Institute of Technology, Tijuana, Mexico / Eduardo Gomez Ramírez, Universidad la Salle, Condesa, Mexico / Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland / Witold Pedrycz, University of Manitoba, Winnipeg, Canada
Inhaltsangabe
Fuzzy Logic as the Logic of Natural Languages.- I: Type-2 Fuzzy Logic: Theory and Applications.- II: Fuzzy Clustering: Theory and Applications.- III: Intelligent Identification and Control.- IV: Time Series Prediction.- V: Pattern Recognition.- VI: Evolutionary Computation.- VII: Fuzzy Modeling.- VIII: Intelligent Manufacturing and Scheduling.- IX: Intelligent Agents.- X: Neural Networks Theory.- XI: Robotics.- XII: Fuzzy Logic Applications.