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Titlebook: Soft Computing Techniques in Engineering Applications; Srikanta Patnaik,Baojiang Zhong Book 2014 Springer International Publishing Switzer

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发表于 2025-3-21 19:33:30 | 显示全部楼层 |阅读模式
书目名称Soft Computing Techniques in Engineering Applications
编辑Srikanta Patnaik,Baojiang Zhong
视频video
概述Latest research on Soft Computing Techniques in Vision Science.Presents basic research extending to Visual Perception and Visual system, Cognitive Psychology, and Psychophysics.Written by experts in t
丛书名称Studies in Computational Intelligence
图书封面Titlebook: Soft Computing Techniques in Engineering Applications;  Srikanta Patnaik,Baojiang Zhong Book 2014 Springer International Publishing Switzer
描述.The Soft Computing techniques, which are based on the information processing of biological systems are now massively used in the area of pattern recognition, making prediction & planning, as well as acting on the environment. Ideally speaking, soft computing is not a subject of homogeneous concepts and techniques; rather, it is an amalgamation of distinct methods that confirms to its guiding principle. At present, the main aim of soft computing is to exploit the tolerance for imprecision and uncertainty to achieve tractability, robustness and low solutions cost. The principal constituents of soft computing techniques are probabilistic reasoning, fuzzy logic, neuro-computing, genetic algorithms, belief networks, chaotic systems, as well as learning theory. This book covers contributions from various authors to demonstrate the use of soft computing techniques in various applications of engineering..
出版日期Book 2014
关键词Computational Intelligence; Soft Computing; Vision Science
版次1
doihttps://doi.org/10.1007/978-3-319-04693-8
isbn_softcover978-3-319-37501-4
isbn_ebook978-3-319-04693-8Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer International Publishing Switzerland 2014
The information of publication is updating

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Srikanta Patnaik,Baojiang ZhongLatest research on Soft Computing Techniques in Vision Science.Presents basic research extending to Visual Perception and Visual system, Cognitive Psychology, and Psychophysics.Written by experts in t
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Soft Computing Techniques in Engineering Applications978-3-319-04693-8Series ISSN 1860-949X Series E-ISSN 1860-9503
发表于 2025-3-22 13:23:27 | 显示全部楼层
Machine Vision Solutions in Automotive Industry, for parts traceability decoded by reading OCR, data matrix and barcode. Different automobiles can have different quality of parts depending on price range. Machine Vision can also be used to classify automotive parts based on the required quality using measurements. This publication explains the ba
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A Matlab GUI Package for Comparing Data Clustering Algorithms,ms. The user selects algorithm, internal validity index, external validity index, number of clusters, number of iterations etc. from the active windows. In this Package we compare the results of k-means, fuzzy c-means, hierarchical clustering and multiobjective clustering with support vector machine
发表于 2025-3-22 22:15:24 | 显示全部楼层
An Efficient Method for Contrast Enhancement of Digital Mammographic Images,th existing methods in terms of EME, EMF and CPU time. Simulation results indicate that the proposed method provides better image qualitative and quality performance as compared to existing algorithms.
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Medical Image Analysis Using Soft Computing Techniques,ication of few soft computing techniques such as Fuzzy C-Means (FCM), K-means and Support Vector Machine (SVM) for image segmentation and classification are explored. Brain image database and Retinal image database are used in these experiments. The approaches are analyzed in terms of some performan
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