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Artificial Intelligence and Soft Computing ¿ ICAISC 2004: 7th International Conference Zakopane, Poland, June 7¿11, 2004 Proceedings: 3070 (Lecture Notes in Artificial Intelligence) - Softcover

 
9783540221234: Artificial Intelligence and Soft Computing ¿ ICAISC 2004: 7th International Conference Zakopane, Poland, June 7¿11, 2004 Proceedings: 3070 (Lecture Notes in Artificial Intelligence)
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This volume constitutes the proceedings of the 7th Conference on Arti?cial Intelligence and Soft Computing, ICAISC2004, held in Zakopane, Poland, June 7-11, 2004. The conference was organized by the Polish Neural Network Society in cooperation with the Department of Computer Engineering at the Tech- calUniversityofCzesto , chowa, WSHE University in L' od' z and IEEE Neural Networks Society. The previous conferences took place in Kule (1994), Szczyrk (1996), Kule (1997) and Zakopane (1999, 2000, 2002) and attracted a large number of papers and internationally recognized speakers: Prof. Lot? A. Zadeh, Prof. RobertMarks,Prof. EnriqueRuspini,Prof. Zdzis lawBubnicki,Prof. Jacek ? Zurada, Prof. Shun-ichi Amari, Prof. Kaoru Hirota, Prof. Ryszard Tadeusiewicz, Prof. Shiro Usui, Prof. W lodzis law Duch, Prof. Erkki Oja, Prof. Syozo Yasui, Prof. Witold Pedrycz, Prof. Janusz Kacprzyk, Prof. Laszlo T. Koczy, Prof. Soo- Young Lee and Prof. Daniel Amit. The aim of this conference is to build a bridge between traditional arti?cial intelligence techniques and recently developed soft computing techniques. It was pointed out by Prof. Lot? A. Zadeh that "Soft Computing (SC) is a coalition of methodologies which are oriented toward the conception and design of information/intelligent systems. The principal m- bers of the coalition are: fuzzy logic (FL), neurocomputing (NC), evolutionary computing (EC), probabilistic computing (PC), chaotic computing (CC), and machine learning (ML). The constituent methodologies of SC are, for the most part, complementary and synergisticrather than competitive". Thisvolumep- sents both traditional arti?cial intelligence methods and soft computing tech- ques presented in 14 parts: 1.
Reseña del editor:
This book constitutes the refereed proceedings of the 7th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2004, held in Zakopane, Poland in June 2004.The 172 revised contributed papers presented together with 17 invited papers were carefully reviewed and selected from 250 submissions. The papers are organized in topical sections on neural networks, fuzzy systems, evolutionary algorithms, rough sets, soft computing in classification, image processing, robotics, multiagent systems, problems in AI, intelligent control, modeling and system identification, medical applications, mechanical applications, and applications in various fields.

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ISBN 10: 3540221239 ISBN 13: 9783540221234
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Buchbeschreibung Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume constitutes the proceedings of the 7th Conference on Arti cial Intelligence and Soft Computing, ICAISC2004, held in Zakopane, Poland, June 7 11, 2004. The conference was organized by the Polish Neural Network Society in cooperation with the Department of Computer Engineering at the Tech- calUniversityofCzesto chowa, WSHE University in L od z and IEEE Neural Networks Society. The previous conferences took place in Kule (1994), Szczyrk (1996), Kule (1997) and Zakopane (1999, 2000, 2002) and attracted a large number of papers and internationally recognized speakers: Prof. Lot A. Zadeh, Prof. RobertMarks,Prof. EnriqueRuspini,Prof. Zdzis lawBubnicki,Prof. Jacek Zurada, Prof. Shun-ichi Amari, Prof. Kaoru Hirota, Prof. Ryszard Tadeusiewicz, Prof. Shiro Usui, Prof. W lodzis law Duch, Prof. Erkki Oja, Prof. Syozo Yasui, Prof. Witold Pedrycz, Prof. Janusz Kacprzyk, Prof. Laszlo T. Koczy, Prof. Soo- Young Lee and Prof. Daniel Amit. The aim of this conference is to build a bridge between traditional arti cial intelligence techniques and recently developed soft computing techniques. It was pointed out by Prof. Lot A. Zadeh that Soft Computing (SC) is a coalition of methodologies which are oriented toward the conception and design of information/intelligent systems. The principal m- bers of the coalition are: fuzzy logic (FL), neurocomputing (NC), evolutionary computing (EC), probabilistic computing (PC), chaotic computing (CC), and machine learning (ML). The constituent methodologies of SC are, for the most part, complementary and synergisticrather than competitive . Thisvolumep- sents both traditional arti cial intelligence methods and soft computing tech- ques presented in 14 parts: 1. Artikel-Nr. 9783540221234

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