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Choosing an information coding scheme for a CMAC neural network

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Abstract

The influence of the choice of a coding scheme on properties of a CMAC network is analyzed. Since there exist several arbitrarily chosen parameters in such a network, their optimal values should be found. Computer simulation showed that the type of a coding scheme greatly influences the accuracy of not only identification but also control over nonlinear dynamical objects.

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References

  1. J. S. Albus, “A new approach to manipulator control: The cerebellar model articulation controller (CMAC),” ASME Trans., J. Dynamic Systems, Measurement and Control, 97, No 3, 220–227 (1975).

    MATH  Google Scholar 

  2. J. S. Albus, “Data storage in cerebellar model articulation controller (CMAC),” ASME Trans., J. Dynamic Systems, Measurement and Control, 97, No. 3, 228–233 (1975).

    MATH  Google Scholar 

  3. S. Commuri and F. L. Lewis, “CMAC neural networks for control of nonlinear dynamical systems, structure, stability, and passivity,” in: Proc. IEEE Int. Symp. Intell. Control, 123–129 (1995).

  4. S. Commuri, F. L. Lewis, and S. Jagannathan, “Discrete-time CMAC neural networks for control applications,” in: Proc. IEEE Conf. on Decision and Control, New Orleans (1995), pp. 2420–2426.

  5. Youji Iiguni, “Hierarchical image coding via cerebellar model arithmetic computers (CMAC),” IEEE Trans. on Image Processing, 5, No. 10, 1393–1401 (1996).

    Article  Google Scholar 

  6. O. G. Rudenko and A. A. Bessonov, “CMAC neural network and its use in problems of identification and control of nonlinear dynamic objects,” Cybernetics and Systems Analysis, No. 5, 15–28 (2005).

  7. S. H. Lane, D. A. Handelman, and J. J. Gelfand, “Theory and development of higher-order CMAC neural networks,” IEEE Control Systems, 12, No. 2, 23–30 (1992).

    Article  Google Scholar 

  8. Ch.-T. Chiang and Ch.-Sh. Lin, “CMAC with general basis functions,” Neural Networks, 9, No. 7, 1199–1211 (1996).

    Article  Google Scholar 

  9. O. G. Rudenko and A. A. Bessonov, “Choice of basis functions in a CMAC neural network,” Probl. Upravlen. Inf., No. 2, 143–154 (2004).

  10. O. G. Rudenko and A. A. Bessonov, “Adaptive control of multidimensional nonlinear objects on the basis of radial-basis networks,” Cybernetics and Systems Analysis, No. 2, 168–176 (2005).

  11. O. G. Rudenko and A. A. Bessonov, “Real-time identification of nonlinear time-varying systems using radial basis function network,” Cybernetics and Systems Analysis, No. 6, 177–185 (2003).

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Authors and Affiliations

  1. Kharkov National University of Radio Electronics, Kharkov, Ukraine

    O. G. Rudenko & A. A. Bessonov

Authors
  1. O. G. Rudenko
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  2. A. A. Bessonov
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Translated from Kibernetika i Sistemnyi Analiz, No. 3, pp. 18–25, May–June 2007.

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Rudenko, O.G., Bessonov, A.A. Choosing an information coding scheme for a CMAC neural network. Cybern Syst Anal 43, 327–333 (2007). https://doi.org/10.1007/s10559-007-0053-7

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  • DOI: https://doi.org/10.1007/s10559-007-0053-7

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