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Titlebook: Engineering Applications of Soft Computing; Margarita-Arimatea Díaz-Cortés,Erik Cuevas,Raúl Ro Book 2017 Springer International Publishing

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发表于 2025-3-21 17:43:38 | 显示全部楼层 |阅读模式
书目名称Engineering Applications of Soft Computing
编辑Margarita-Arimatea Díaz-Cortés,Erik Cuevas,Raúl Ro
视频video
概述Provides an overview of the different aspects of soft computing methods to create a global understanding of the field and to help conduct studies on specific soft computing techniques related to engin
丛书名称Intelligent Systems Reference Library
图书封面Titlebook: Engineering Applications of Soft Computing;  Margarita-Arimatea Díaz-Cortés,Erik Cuevas,Raúl Ro Book 2017 Springer International Publishing
描述.This book bridges the gap between Soft Computing techniques and their applications to complex engineering problems. In each chapter we endeavor to explain the basic ideas behind the proposed applications in an accessible format for readers who may not possess a background in some of the fields. Therefore, engineers or practitioners who are not familiar with Soft Computing methods will appreciate that the techniques discussed go beyond simple theoretical tools, since they have been adapted to solve significant problems that commonly arise in such areas. At the same time, the book will show members of the Soft Computing community how engineering problems are now being solved and handled with the help of intelligent approaches..Highlighting new applications and implementations of Soft Computing approaches in various engineering contexts, the book is divided into 12 chapters. Further, it has been structured so that each chapter can be read independently of the others..
出版日期Book 2017
关键词Soft Computing; Computational Intelligence; Intelligent Systems; Artificial Intelligence; Soft Computing
版次1
doihttps://doi.org/10.1007/978-3-319-57813-2
isbn_softcover978-3-319-86257-6
isbn_ebook978-3-319-57813-2Series ISSN 1868-4394 Series E-ISSN 1868-4408
issn_series 1868-4394
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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Artificial Bee Colony Algorithm Applied to Multi-threshold Segmentation, an optimization problem. On the other Hand, ABC is a nature inspired algorithm based on the intelligent behaviour of honey-bees which has been successfully used to solve complex real life optimization problems.
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Lisa Bosman,Stephanie Fernhabernternal parameters. In this approach, the parameter estimation process is transformed into a multidimensional optimization problem where the internal parameters of the induction motor are considered as decision variables.
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https://doi.org/10.1007/978-981-10-6725-9 an optimization problem. On the other Hand, ABC is a nature inspired algorithm based on the intelligent behaviour of honey-bees which has been successfully used to solve complex real life optimization problems.
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Book 2017plain the basic ideas behind the proposed applications in an accessible format for readers who may not possess a background in some of the fields. Therefore, engineers or practitioners who are not familiar with Soft Computing methods will appreciate that the techniques discussed go beyond simple the
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Multi-threshold Segmentation Using Learning Automata, image is approximated through a Gaussian mixture model whose parameters are calculated using the LA algorithm. Each Gaussian function approximating the histogram represents a pixel class and therefore a thresholding point. Experimental results show fast convergence of the method, avoiding the typical sensitivity to initial conditions.
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