DocumentCode :
1938060
Title :
Soft computing perspectives
Author :
Sanchez, EIie
Author_Institution :
IMT, Marseille Univ., France
fYear :
1994
fDate :
25-27 May 1994
Firstpage :
276
Lastpage :
281
Abstract :
Soft computing stands for methods and techniques in fuzzy logic, probabilistic reasoning, neural networks, genetic algorithms, chaos or other approaches related to cognitive modelling. These overlapping domains can reinforce each other, thus offering suitable tools to represent and solve real world problems. Genetic algorithms and classifier systems are introduced in the framework of soft computing. Their interactions with other fields are discussed, especially in relation to neural networks and fuzzy logic based systems of If-Then rules. It finally presents fuzzy genetic algorithms involving soft (fuzzy) crossover operators
Keywords :
chaos; fuzzy logic; genetic algorithms; inference mechanisms; neural nets; chaos; classifier systems; cognitive modelling; fuzzy logic; genetic algorithms; neural networks; probabilistic reasoning; soft computing; Books; Chaos; Computer networks; Fuzzy logic; Fuzzy neural networks; Fuzzy sets; Genetic algorithms; Hybrid intelligent systems; Neural networks; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multiple-Valued Logic, 1994. Proceedings., Twenty-Fourth International Symposium on
Conference_Location :
Boston, MA
Print_ISBN :
0-8186-5650-6
Type :
conf
DOI :
10.1109/ISMVL.1994.302190
Filename :
302190
Link To Document :
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