By Patricia Melin,Oscar Castillo,Janusz Kacprzyk
This booklet offers contemporary advances at the layout of clever structures according to fuzzy good judgment, neural networks and nature-inspired optimization and their program in parts such as, intelligent keep watch over and robotics, development acceptance, time sequence prediction and optimization of complicated difficulties. The publication is prepared in 8 major components, which include a gaggle of papers round an identical topic. the 1st half includes papers with the most subject of theoretical elements of fuzzy good judgment, which primarily comprises papers that suggest new suggestions and algorithms according to fuzzy platforms. the second one half includes papers with the most subject matter of neural networks idea, that are essentially papers facing new ideas and algorithms in neural networks. The 3rd half comprises papers describing functions of neural networks in various components, resembling time sequence prediction and development acceptance. The fourth half includes papers describing new nature-inspired optimization algorithms. The 5th half offers various purposes of nature-inspired optimization algorithms. The 6th half includes papers describing new optimization algorithms. The 7th half includes papers describing purposes of fuzzy common sense in different parts, akin to time sequence prediction and trend attractiveness. ultimately, the 8th half comprises papers that current improvements to meta-heuristics in keeping with fuzzy good judgment ideas.
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Extra resources for Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization (Studies in Computational Intelligence)
Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization (Studies in Computational Intelligence) by Patricia Melin,Oscar Castillo,Janusz Kacprzyk