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

By Seppo J. Ovaska

Content material:
Chapter 1 advent to Fusion of soppy Computing and difficult Computing (pages 5–30): Seppo J. Ovaska
Chapter 2 normal version for Large?Scale Plant program (pages 35–55): Akimoto Kamiya
Chapter three Adaptive Flight keep an eye on: gentle Computing with difficult Constraints (pages 61–88): Richard E. Saeks
Chapter four Sensorless regulate of Switched Reluctance cars (pages 93–124): Adrian David Cheok
Chapter five Estimation of Uncertainty Bounds for Linear and Nonlinear strong regulate (pages 129–164): Gregory D. Buckner
Chapter 6 oblique On?Line instrument put on tracking (pages 169–198): Bernhard Sick
Chapter 7 Predictive Filtering tools for strength platforms functions (pages 203–240): Seppo J. Ovaska
Chapter eight Intrusion Detection for desktop defense (pages 245–272): Sung?Bae Cho and Sang?Jun Han
Chapter nine Emotion producing process on Human–Computer Interfaces (pages 277–312): Kazuya Mera and Takumi Ichimura
Chapter 10 advent to clinical info Mining: Direct Kernel equipment and functions (pages 317–362): Mark J. Embrechts, Boleslaw Szymanski and Karsten Sternickel
Chapter eleven world-wide-web utilization Mining (pages 367–396): Ajith Abraham

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

Sample text

D. Cheok, "Performance Comparison of Fused Soft Control/Hard Observer Type Controller with Hard Control/Hard Observer Type Controller for Switched 28 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24. 25. 26. 27. 1 INTRODUCTION TO FUSION OF SOFT COMPUTING AND HARD COMPUTING Reluctance Motors," IEEE Transactions on Systems, Man, and Cybernetics—Part C: Applications and Reviews 32, 99-112 (2002). G. D. Buckner, "Intelligent Bounds on Modeling Uncertainties: Applications to Sliding Mode Control," IEEE Transactions on Systems, Man, and Cybernetics—Part C: Applications and Reviews 32, 113-124 (2002).

The adopted qualitative measure, fusion grade [5], describes the strength of a particular connection between SC and HC constituents. 1. 2. Definitions of Fusion Grades Qualitative Definition Fusion Grade Low Moderate High Very high SC and HC in simultaneous or alternative use without explicit connections Connections on input/output signal level only SC or HC used for determining values of internal parameters HC or SC used for determining internal structure or generating/ manipulating internal data high.

R. H. Kewley and M. J. Embrechts, "Computational Military Tactical Planning System," IEEE Transactions on Systems, Man, and Cybernetics—Part C: Applications and Reviews 32, 161-171 (2002). M. Agarwal, "Combining Neural and Conventional Paradigms for Modeling, Prediction, and Control," Proceedings of the 4th IEEE Conference on Control Applications, Albany, NY, Sept. 1995, pp. 566-571. I. Hayashi and M. Umano, "Perspectives and Trends of Fuzzy-Neural Networks," Journal of the Japan Society of Fuzzy Theory and Systems 5, 178-190 (1993), in Japanese.

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