Computationally Intelligent Hybrid Systems: The Fusion of by Seppo J. Ovaska

By Seppo J. Ovaska

This uniquely crafted paintings combines the event of many the world over famous specialists within the gentle- and hard-computing learn worlds to provide practising engineers with the broadest attainable array of methodologies for constructing leading edge and aggressive options to real-world difficulties. all the chapters illustrates the wide-ranging applicability of the fusion suggestion in such serious parts as

  • Computer defense and information mining
  • Electrical strength structures and large-scale plants
  • Motor drives and power put on monitoring
  • User interfaces and the realm huge Web
  • Aerospace and powerful regulate

This must-have advisor for training engineers, researchers, and R&D managers who desire to create or comprehend computationally clever hybrid platforms can also be a great basic resource for graduate classes in gentle computing, engineering purposes of synthetic intelligence, and similar themes.

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Additional resources for Computationally Intelligent Hybrid Systems: The Fusion of Soft Computing and Hard Computing

Example text

Fogel, A. J. Owens, and M. J. Walsh, "Artificial Intelligence through a Simulation of Evolution," in D. B. , Evolutionary Computation: The Fossil Record, IEEE Press, Piscataway, NJ, 1998, pp. 230-254. EDITOR'S INTRODUCTION TO CHAPTER 2 Large-scale systems are highly potential users of soft computing, because their planning, operation, control, supervision, and fault diagnostics tasks have traditionally employed a significant amount of human expertise. To minimize the need of human specialists and increase the operational efficiency, it is beneficial to introduce computational and artificial intelligence on different levels of system hierarchy.

Soft Computing and Industry: Recent Applications, Springer-Verlag, London, UK, 2002, pp. XV-XVIII. 8. S. J. Ovaska and H. F. VanLandingham, "Guest Editorial: Special Issue on Fusion of Soft Computing and Hard Computing in Industrial Applications," IEEE Transactions on Systems, Man, and Cybernetics—Part C: Applications and Reviews 32, 69-71 (2002). 9. S. J. Ovaska, H. F. VanLandingham, and A. Kamiya, "Fusion of Soft Computing and Hard Computing in Industrial Applications: An Overview," IEEE Transactions on Systems, Man, and Cybernetics—Part C: Applications and Reviews 32, 72-79 (2002).

T. S. Kim and G. S. May, "Optimization of Via Formation in Photosensitive Dielectric Layers Using Neural Networks and Genetic Algorithms," IEEE Transactions on Electronics Packaging and Manufacturing 22, 128-136 (1999). 33. D. F. Akhmetov, Y. Dote, and S. J. Ovaska, "Fuzzy Neural Network with General Parameter Adaptation for Modeling of Nonlinear Time-Series," IEEE Transactions on Neural Networks 12, 148-152 (2001), errata published in IEEE Transactions on Neural Networks 12, 443 (2001). 34. B.

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