Soft Computing and Industry: Recent Applications
Soft computing embraces various methodologies for the development of intelligent systems that have been successfully applied to a large number of real-world problems. This text contains a collection of papers that were presented at the 6th On-line World Conference on Soft Computing in Industrial Applications that was held in September 2001. It provides a comprehensive overview of recent theoretical developments in soft computing as well as of successful industrial applications. It is divided into seven parts covering material on: keynote papers on various subjects ranging from computing with autopoietic systems to the effects of the Internet on education intelligent control classification, clustering and optimization image and signal processing agents, multimedia and Internet theoretical advances prediction, design and diagnosis. The book is aimed at researchers and professional engineers who develop and apply intelligent systems in computer engineering.
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adaptive agent analysis application approach approximation Artificial autopoiesis autopoietic autopoietic system behavior binary cell chromosomes classifier coefficients complex Conference considered constraints crossover database defined described detection Differential Evolution dynamic systems environment equation error evaluation evolution evolutionary algorithms Evolutionary Computation example feature Figure fitness friction fusion fuzzy clustering Fuzzy Integral fuzzy logic fuzzy measure fuzzy objects fuzzy rules fuzzy set fuzzy system gene genetic algorithm genetic operators identification IEEE immune system implementation individual input intelligent interaction iterative linear mathematical membership functions method mutation neural networks neurons nodes nonlinear obtained optimisation optimization output paper parameters performance PID controller population prediction presented problem programming proposed random randomly represent robot segment selection sensor shown signal simulated annealing simulation Soft Computing solution space structure Table techniques Theorem tion training set values variables vector watermark weights