Computationally Intelligent Hybrid Systems: The Fusion of Soft Computing and Hard Computing / Edition 1

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This is an essential guide for practicing engineers, researchers, and R&D managers who wish to create or understand computationally intelligent hybrid systems, as well as an excellent primary source for graduate courses in soft computing engineering applications of artificial intelligence and related topics.
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Editorial Reviews

From the Publisher
"…the only book to examine the practical issue involved in the creation of high-performance, cost-effective applications using a synthesis of neural networks, fuzzy systems and evolutionary computation with traditional computing methods." (International Journal of General Systems, June 2005)

"...accessible for practical engineers and at the same time quite interesting for theoretical computer will inspire more people to use the (currently under-utilized) fusion techniques." (Journal of Intelligent & Fuzzy Systems, Vol. 16, No. 3, 2005)

"…these well-written papers serve to offer insight into the powerful combination of soft and hard computing that is now being applied…to real-world applications." (Computing, June 10, 2005)

"This is the first book to treat the subject. With this work, the editor hopes to bridge the gap between the proponents of soft computing and hard computing." (E-STREAMS, May 2005)

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Product Details

Meet the Author

SEPPO J. OVASKA, DSc (Tech), is a professor in the Department of Electrical and Communications Engineering at Helsinki University of Technology, Finland. He is a senior member of the IEEE, and has published more than 180 papers in peer-reviewed journals and international conferences.
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Table of Contents

1 Introduction to fusion of soft computing and hard computing 5
2 General model for large-scale plant application 35
3 Adaptive flight control : soft computing with hard constraints 61
4 Sensorless control of switched reluctance motors 93
5 Estimation of uncertainty bounds for linear and nonlinear robust control 129
6 Indirect on-line tool wear monitoring 169
7 Predictive filtering methods for power systems applications 203
8 Intrusion detection for computer security 245
9 Emotion generating method on human-computer interfaces 277
10 Introduction to scientific data mining : direct kernel methods and applications 317
11 World wide web usage mining 367
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Customer Reviews

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