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Adaptive Fuzzy Filters and Their Application to Online Maneuvering Target Tracking

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Fuzzy Filters for Image Processing

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 122))

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Summary

This chapter is devoted to present two adaptive fuzzy filters with online structure and parameter learning ability with an important feature that they can dynamically partition the input and output spaces using a modified FCM (Fuzzy CMeans) clustering algorithm according to the input-output data distribution. These filters are also able to tune membership functions and find fuzzy logic rules in an on-line manner. This chapter also introduces a new evolutionary algorithm called OGA as a learning system for the adaptive fuzzy filters. Finally the adaptive fuzzy filters are applied to maneuvering target tracking problem and their performance is compared with that of the classical Kalman Based techniques (Interacting Multiple Model).

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Authors and Affiliations

  1. Electrical Engineering Department, AmirKabir University, Hafez Ave. 529, Tehran, Iran

    Mohammad B. Menhaj

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  1. Mohammad B. Menhaj
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Correspondence to Mohammad B. Menhaj .

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Editors and Affiliations

  1. Dept. of Applied Mathematics and Computer Science, Ghent University, Krijgslaan 281 (S9), 9000, Gent, Belgium

    Mike Nachtegael , Dietrich Van der Weken  & Etienne E. Kerre ,  & 

  2. Biomedical Imaging Group EPFL/STI/LIB, Swiss Federal Institute of Technology Lausanne, Bat. BM4. 140, 1015, Lausanne EPFL, Switzerland

    Dimitri Van De Ville

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Menhaj, M.B. (2003). Adaptive Fuzzy Filters and Their Application to Online Maneuvering Target Tracking. In: Nachtegael, M., Van der Weken, D., Kerre, E.E., Van De Ville, D. (eds) Fuzzy Filters for Image Processing. Studies in Fuzziness and Soft Computing, vol 122. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-36420-7_13

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  • DOI: https://doi.org/10.1007/978-3-540-36420-7_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-05591-1

  • Online ISBN: 978-3-540-36420-7

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