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Titlebook: Applications of Soft Computing; Updating the State o Erel Avineri,Mario K?ppen,Rajkumar Roy Conference proceedings 2009 Springer-Verlag Ber

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期刊全稱Applications of Soft Computing
期刊簡稱Updating the State o
影響因子2023Erel Avineri,Mario K?ppen,Rajkumar Roy
視頻videohttp://file.papertrans.cn/160/159566/159566.mp4
發(fā)行地址Contains a collection of papers that were presented at the 12th On-line World Conference on Soft Computing in Industrial Applications, held in October 2007
學(xué)科分類Advances in Intelligent and Soft Computing
圖書封面Titlebook: Applications of Soft Computing; Updating the State o Erel Avineri,Mario K?ppen,Rajkumar Roy Conference proceedings 2009 Springer-Verlag Ber
影響因子.Soft Computing is a complex of methodologies that includes artificial neural networks, genetic algorithms, fuzzy logic, Bayesian networks, and their hybrids. It admits approximate reasoning, imprecision, uncertainty and partial truth in order to mimic the remarkable human capability of making decisions in real-life, ambiguous environments. Soft Computing has therefore become popular in developing systems that encapsulate human expertise. ‘Applications of Soft Computing: Updating the State of Art‘ contains a collection of papers that were presented at the 12th On-line World Conference on Soft Computing in Industrial Applications, held in October 2007. This carefully edited book provides a comprehensive overview of the recent advances in the industrial applications of soft computing and covers a wide range of application areas, including design, intelligent control, optimization, signal processing, pattern recognition, computer graphics, production, as well as civil engineering and applications to traffic and transportation systems. The book is aimed at researchers and practitioners who are engaged in developing and applying intelligent systems principles to solving real-world probl
Pindex Conference proceedings 2009
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Konventionelle Dampfkraftwerke,ir importance. A practical example related to the dynamic modeling of a chemical process system is used to prove that synergistic combination of model transformation, visualization and reduction of NNs is an effective technique, that can be used for the structural and parametrical analysis of NNs.
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Use of Multi-objective Evolutionary Algorithms in Extrusion Scale-Upnditions of the target extruder that minimize the differences between the values of the criteria for the reference and target extruders. Some case studies are discussed in order to validate the concept.
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Conference proceedings 2009rocessing, pattern recognition, computer graphics, production, as well as civil engineering and applications to traffic and transportation systems. The book is aimed at researchers and practitioners who are engaged in developing and applying intelligent systems principles to solving real-world probl
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https://doi.org/10.1007/978-3-540-88079-0Bayesian network; artificial intelligence; artificial neural network; cognition; evolution; evolutionary
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