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Titlebook: Computational Intelligence Applications in Modeling and Control; Ahmad Taher Azar,Sundarapandian Vaidyanathan Book 2015 Springer Internati

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書目名稱Computational Intelligence Applications in Modeling and Control
編輯Ahmad Taher Azar,Sundarapandian Vaidyanathan
視頻videohttp://file.papertrans.cn/233/232377/232377.mp4
概述Presents trends and applications in modeling and control of computational intelligence.Selected collection of contributions from International Conference On Control, Engineering & Information Technolo
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Computational Intelligence Applications in Modeling and Control; Ahmad Taher Azar,Sundarapandian Vaidyanathan Book 2015 Springer Internati
描述.The development of computational intelligence (CI) systems was inspired by observable and imitable aspects of intelligent activity of human being and nature. The essence of the systems based on computational intelligence is to process and interpret data of various nature so that that CI is strictly connected with the increase of available data as well as capabilities of their processing, mutually supportive factors. Developed theories of computational intelligence were quickly applied in many fields of engineering, data analysis, forecasting, biomedicine and others. They are used in images and sounds processing and identifying, signals processing, multidimensional data visualization, steering of objects, analysis of lexicographic data, requesting systems in banking, diagnostic systems, expert systems and many other practical implementations..This book consists of 16 contributed chapters by subject experts who are specialized in the various topics addressed in this book. The special chapters have been brought out in the broad areas of Control Systems, Power Electronics, Computer Science, Information Technology, modeling and engineering applications. Special importance was given to
出版日期Book 2015
關(guān)鍵詞Artificial Neural Networks; CEIT 14; CEIT’14; Computational Intelligence; Evolutionary Computing; Fuzzy L
版次1
doihttps://doi.org/10.1007/978-3-319-11017-2
isbn_softcover978-3-319-35470-5
isbn_ebook978-3-319-11017-2Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

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Application of Genetic Algorithms for the Estimation of Ultrasonic Parameters,s. Comparative results of that experiment are presented on different evolution operators for less estimation errors and complexity. The results prove the effectiveness of GA in estimating parameters for US propagation.
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Black Hole Algorithm and Its Applications,rent research fields like data clustering problem, image processing, data mining, computer vision, science and engineering. This chapter provides with the stepping stone for future researches to unveil how metaheuristic and bio-inspired commutating algorithms can improve the solutions of hard or com
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Box and Jenkins Nonlinear System Modelling Using RBF Neural Networks Designed by NSGAII,ed by NSGAII: the number of neurons in the hidden layer of the radial basis function neural network, and the error which is the difference between desired input and the output of the radial basis function neural network. This method is applied to modeling Box and Jenkins system. The obtained results
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Back-Propagation Neural Network for Gender Determination in Forensic Anthropology,ht, anterior length, anterior superior breadth, mid-ventral breadth, anterior posterior diameter of the base, and max-transverse diameter of the base. The objective of this paper is to examine and compare the degree of accuracy between previous research (DFA) and BPNN. There are two architectures of
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A New Approach for Flexible Queries Using Fuzzy Ontologies,epresented, then, as a set of fuzzy rules as an efficient answers to flexible queries. We show that this approach is optimum because the evaluation of the query is not done on the set of starting data which is huge but rather by using the generated fuzzy ontology.
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