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Titlebook: Advances in Soft Computing; Engineering Design a Rajkumar Roy,Takeshi Furuhashi,Pravir K. Chawdhry Conference proceedings 1999 Springer-Ver

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發(fā)表于 2025-3-21 16:45:45 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Advances in Soft Computing
期刊簡稱Engineering Design a
影響因子2023Rajkumar Roy,Takeshi Furuhashi,Pravir K. Chawdhry
視頻videohttp://file.papertrans.cn/150/149748/149748.mp4
發(fā)行地址A unique collection of research papers from leading experts around the world presented in one volume Innovative techniques on evolutionary design and optimisation are a main topic of the book The edit
圖書封面Titlebook: Advances in Soft Computing; Engineering Design a Rajkumar Roy,Takeshi Furuhashi,Pravir K. Chawdhry Conference proceedings 1999 Springer-Ver
影響因子.Advances in Soft Computing. contains the most recent developments in the field of soft computing in engineering design and manufacture. The book comprises a selection of papers that were first presented in June 1998 at the 3rd On-line World Conference on Soft Computing in Engineering Design and Manufacturing. Amongst these are four invited papers by World-renowned researchers in the field. Soft computing is a collection of methodologies which aim to exploit tolerance for imprecision, uncertainty and partial truth to achieve tractability, robustness and low solution cost. The area of applications of soft computing is extensive. Principally the constituents of soft computing are: fuzzy computing, neuro-computing, genetic computing and probabilistic computing. The topics in this book are well focused on engineering design an d manufacturing. This broad collection of 43 research papers, has been arranged into nine parts by the editors. These include: Design Support Systems, Intelligent Control, Data Mining and New Topics in EA basics. The papers on evolutionary design and optimisation are of particular interest. Innovative techniques are explored and the reader is introduced to new, h
Pindex Conference proceedings 1999
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Computer Safety, Reliability, and Securityhy the recently proposed fast EP performs better than classical EP for most benchmark functions, discuss the scalability of EP, and demonstrate how EP has been used to solve the function optimisation problem and neural network design problem.
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Lecture Notes in Computer Science (.) — are here reviewed and implemented. .’s are assessed on a horizontal balance process, consisting of two propellers driven by two . motors. Such process offers control complexities and can become unstable by using classical controllers. Experimental results, robustness and performance of .-.’s are illustrated and discussed.
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Yi Zhang,Brian Larson,John Hatcliffhm is presented and performance comparisons are shown. The performance comparisons are made using a model of a chemical process (Continuous Stirring Tank Reactor) where noise and uncertainties are included.
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An Experimental and Comparative Study of Fuzzy PID Controller Structures (.) — are here reviewed and implemented. .’s are assessed on a horizontal balance process, consisting of two propellers driven by two . motors. Such process offers control complexities and can become unstable by using classical controllers. Experimental results, robustness and performance of .-.’s are illustrated and discussed.
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Predictive Control Using Fuzzy Modelshm is presented and performance comparisons are shown. The performance comparisons are made using a model of a chemical process (Continuous Stirring Tank Reactor) where noise and uncertainties are included.
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Computer Safety, Reliability, and Securityendence is multilinear in the particular case with independent uncertain clauses. Graph with uncertain edges exemplifies the discussion. At last, we demonstrate the use of some of described methods in the pilot application for solving the network based project planning problem in extended non-deterministic formulation.
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