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Fusion of Soft Computing and Hard Computing: An Extension of Structural Categories

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Soft Computing as Transdisciplinary Science and Technology

Part of the book series: Advances in Soft Computing ((AINSC,volume 29))

Abstract

Soft computing (SC) and hard computing (HC) methodologies are fused together successfully in numerous industrial applications. The principal aim is to develop computationally intelligent hybrid systems that are straightforward to analyze, their behavior and stability could be highly predictable, and the computational burden would be no more than moderate. All these goals are particularly important in embedded real-time applications. In our previous research, as an attempt to reinforce the concept of the fusion of SC and HC, we classified the different fusion structures to 12 core categories and six supplementary categories. In this paper, we review these structural categories with some refinement and extensions to further advance our research on the fusion of SC and HC.

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References

  1. Ovaska, S.J., Dote, Y., Furuhashi, T., Kamiya, A., VanLandingham, H.F.: Fusion of soft computing and hard computing techniques: A review of applications, IEEE International Conference on Systems, Man, and Cybernetics, Tokyo, Japan (1999) I-370–I-375

    Google Scholar 

  2. Ovaska, S.J., VanLandingham, H.F.: 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, vol. 32 (2002) 69–71

    Article  Google Scholar 

  3. Ovaska, S.J. (ed.): Computationally Intelligent Hybrid Systems: The Fusion of Soft Computing and Hard Computing, Wiley — IEEE Press, New York (2004)

    Google Scholar 

  4. Ovaska, S.J., VanLandingham, H.F., Kamiya, A.: Fusion of soft computing and hard computing in industrial applications: An overview, IEEE Transactions on Systems, Man, and Cybernetics—Part C: Applications and Reviews, vol. 32 (2002) 72–79

    Article  Google Scholar 

  5. Hayashi, I., Umano, M., Maeda, T., Bastian, A., Jain, L.C.: Acquisition of fuzzy knowledge by NN and GA—a survey of the fusion and union methods proposed in Japan, in Proceedings of the 2nd International Conference on Knowledge-Based Intelligent Electronic Systems, Adelaide, Australia (1998) 69–78

    Google Scholar 

  6. Goldberg, D.E.: A meditation on the application of soft computing and its future, in Soft Computing and Industry: Recent Applications, Roy, R., Köppen, M., Ovaska, S., Furuhashi, T., Hoffmann, F. (eds.) London, UK: Springer-Verlag (2002) XV–XVIII

    Google Scholar 

  7. Rachlin, J., Goodwin, R., Murthy, S., Akkiraju, R., Wu, F., Kumaran, S., Das, R.: A-teams: An agent architecture for optimization and decision support, in Lecture Notes in Artificial Intelligence (vol. 1555): Intelligent Agents, Mueller, V.J., Singh, M., Rao, A. (eds.) Heidelberg, Germany: Springer-Verlag (1999) 261–276

    Google Scholar 

  8. Krishnamoorthy, C.S., Venkatesh, P.P., Sudarshan, R.: Object-oriented framework for genetic algorithms with application to space truss optimization, Journal of Computing in Civil Engineering, vol. 16 (2002) 66–75

    Article  Google Scholar 

  9. Chiang, W., Liu, K.F.R., Lee, J.: Bridge damage assessment through fuzzy Petri net based expert system, Journal of Computing in Civil Engineering, vol. 14 (2000) 141–149

    Article  Google Scholar 

  10. Hussain, M.A.: Review of the applications of neural networks in chemical process control—simulation and online implementation, Artificial Intelligence in Engineering, vol. 13 (1999) 55–68

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Information Engineering, Kushiro National College of Technology, Otanoshike-nishi 2-32-1, Kushiro, Hokkaido, 084-0916, Japan

    Akimoto Kamiya

  2. Department of Electrical and Communications Engineering, Helsinki University of Technology, Otakaari 5 A, FI-02150, Espoo, Finland

    Seppo J. Ovaska

Authors
  1. Akimoto Kamiya
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  2. Seppo J. Ovaska
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Editor information

Editors and Affiliations

  1. Dept. of Computer Science, Oklahoma State University, North Greenwood Avenue 700, 74106, Tulsa, USA

    Ajith Abraham

  2. Dept. of Computer Science and Systems Engineering, Muroran Institute of Technology, Mizumoto-cho 27-1, 050-8585, Muroran, Hokkaido, Japan

    Yasuhiko Dote

  3. Dept. of Computational Science and Engineering, Nagoya University, Furo-cho, Chikusa-ku, 464-8601, Nagoya, Aichi-ken, Japan

    Takeshi Furuhashi

  4. Institut für Sicherheits-/Prüftechnik, Fraunhofer IPK Berlin, Pascalstr. 8-9, 10587, Berlin, Germany

    Mario Köppen

  5. Division of Complex Systems Technology Graduate School of Engineering, University of Hokkaido, N-13, W-8 060 KITA-KU, Sapporo, Japan

    Azuma Ohuchi

  6. PRESTO Japan Science & Technology Corp. GSSM, University of Tsukuba, 3-29-1 Otsuka, Bunkyo-ku, 12-0012, Tokyo, Japan

    Yukio Ohsawa

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© 2005 Springer-Verlag Berlin Heidelberg

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Kamiya, A., Ovaska, S.J. (2005). Fusion of Soft Computing and Hard Computing: An Extension of Structural Categories. In: Abraham, A., Dote, Y., Furuhashi, T., Köppen, M., Ohuchi, A., Ohsawa, Y. (eds) Soft Computing as Transdisciplinary Science and Technology. Advances in Soft Computing, vol 29. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32391-0_40

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  • DOI: https://doi.org/10.1007/3-540-32391-0_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25055-5

  • Online ISBN: 978-3-540-32391-4

  • eBook Packages: EngineeringEngineering (R0)

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