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

By Seppo J. Ovaska

This uniquely crafted paintings combines the adventure of many across the world famous specialists within the smooth- and hard-computing examine worlds to offer practising engineers with the broadest attainable array of methodologies for constructing leading edge and aggressive suggestions to real-world difficulties. all the chapters illustrates the wide-ranging applicability of the fusion thought in such severe components as

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

This must-have advisor for working towards engineers, researchers, and R&D managers who desire to create or comprehend computationally clever hybrid platforms can also be an exceptional basic resource for graduate classes in tender computing, engineering functions of man-made intelligence, and similar themes.

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

Sample text

C. Jain, "Acquisition of Fuzzy Knowledge by NN and GA—a Survey of the Fusion and Union Methods Proposed in Japan," Proceedings of the 2nd international Conference on Knowledge-Based Intelligent Electronic Systems, Adelaide, Australia, Apr. 1998, pp. 69-78. 6. H. Takagi, "R&D in Intelligent Technologies: Fusion of NN, FS, GA, Chaos, and Human," Half-Day Tutorial/Workshop, IEEE International Conference on Systems, Man, and Cybernetics, Orlando, FL, Oct. 11, 1997. 7. D. E. Goldberg, "A Meditation on the Application of Soft Computing and Its Future," in R.

8 Supplementary Categories In classifying the different kind of fusions of neural networks and fuzzy logic, Hayashi et al. proposed 11 structural categories [5]. This is about the same as our 12 core categories for the fusion of SC and HC. , NN/HC, NN-HC, and HC-NN) in his article that was published in 1995 [18]. Another relevant discussion on integration architectures, related to symbolic artificial intelligence (SA), FL, GA, and NN, was presented by Fu in his 1996 conference tutorial [23]. He identified five integration architectures with three coupling strengths.

In addition to those 12 core categories, we also identified six supplementary categories that offer considerable innovation potential for future applications. Although the HC and SC research communities are quite separated, it is good to observe that many SC-oriented researchers and engineers are openly favoring the various fusion opportunities. However, the HC community generally seems to be more reluctant in applying the complementing SC techniques. This situation may change progressively following positive experiences, along with the associated evolving emphasis in various engineering curricula.

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