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Intelligent Control: A Hybrid Approach Based on Fuzzy Logic, Neural Net
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Intelligent Control: A Hybrid Approach Based on Fuzzy Logic, Neural Net

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PublisherSpringer
ISBN 109783319021348
Book DescriptionBased on the most advanced experimental results and tests, this volume presents a modular switching fuzzy logic controller that embodies today's trend in intelligent control, combining differing technologies to create a powerful next-generation hy
LanguageEnglish
Number of Pages282 pages
ISBN 139783319021348
About the AuthorNazmul H. Siddique graduated from Dresden University of Technology, Germany in Cybernetics and Automation Engineering in 1989. He obtained M. Sc. Eng. in Computer Science and Engineering from Bangladesh University of Engineering and Technology (BUET) in 1995. He received his PhD in intelligent control from the Department of Automatic Control and Systems Engineering, University of Sheffield, England in 2003. He has been a Lecturer in the School of Computing and Intelligent Systems, University of Ulster at Magee, UK since 2001. Dr. Siddique’s research interests relate to intelligent systems, computational intelligence, stochastic systems, Markov models, and complex systems. Dr. Siddique has published over 110 journal/refereed conference papers including 7 book chapters and co-authored two books (to be published by John Wiley and Springer verlag in 2012). He guest edited 5 special issues of reputed journals. He co-edited seven conference proceedings. He has served as committee members and chairs of a number of national and international conferences. He is an editor of the Journal of Behavioural Robotics, associate editor of Journal of Engineering Letters and member of the editorial advisory board of International Journal of Neural Systems. He is a senior member of IEEE and is on the executive committee of the IEEE SMC UK-RI Chapter. Read more
AuthorNazmul Siddique
Publication Date2013-12-16
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Intelligent Control: A Hybrid Approach Based on Fuzzy Logic, Neural Net
Intelligent Control: A Hybrid Approach Based on Fuzzy Logic, Neural Net
673.45
92126%
0

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