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Pseudoinverse and Projection Matrices in Problems of Synthesis of Functional Transformers

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Abstract

An approach is proposed to derive dependences in the form of functional transformers. Conditions of existence and the method of constructing such functional transformers as a superposition of linear and nonlinear functions from a specified class are presented. The principle of optimal synthesis of functional transformers is formulated based on the theory of disturbance of projective and pseudoinverse operators. Methods are proposed for constructing complex functional transformers of different topologies.

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REFERENCES

  1. A. G. Ivakhnenko, Self-Organizing Systems of Recognition and Automatic Control [in Russian], Tekhnika, Kiev (1969).

    Google Scholar 

  2. V. N. Vapnik, Restoring Dependences on Empirical Data [in Russian], Nauka, Moscow (1979).

    Google Scholar 

  3. V. I. Vasil'ev, “Theory of reduction in extrapolation problems,” Probl. Upravl. Inform., No. 1–2, 238–251 (1996).

    Google Scholar 

  4. A. N. Kolmogorov, “Representation of continuous functions of several variables by superpositions of continuous functions of a smaller number of variables,” Dokl. AN SSSR, 108, No. 2, 179–182 (1956).

    Google Scholar 

  5. V. I. Arnold, “On functions of three variables,” Dokl. AN SSSR, 114, No. 4, 953–956 (1957).

    Google Scholar 

  6. N. F. Kirichenko, “Analytical representation of perturbations of pseudoinverse matrices,” Kibern. Sist. Analiz, No. 2, 98–107 (1997).

    Google Scholar 

  7. N. F. Kirichenko and N. P. Lepekha, “Disturbance of pseudoinverse and projection matrices and their application to identification of linear and nonlinear dependences,” Probl. Upravl. Inform., No. 1, 6–22 (2001).

    Google Scholar 

  8. N. F. Kirichenko, A. M. Reznik, and S. P. Shchetenyuk, “Matrix pseudoinversion in the problem of design of associative memory,” Kibern. Sist. Analiz, No. 3, 18–28 (2001).

    Google Scholar 

  9. N. F. Kirichenko and N. P. Lepekha, “Application of pseudoinverse and projective matrices to study control, observation, and identification problems,” Kibern. Sist. Analiz, No. 4, 107–124 (2002).

    Google Scholar 

  10. Yu. V. Krak, T. K. Vintsyuk, M. F. Kirichenko, F. G. Garashchenko, and O. V. Bar mak, “Development of computer technologies of simulation and control of visual images of a human face in simulating pronunciation,” in: Proc. 6th All-Ukrain. and Intern. Conf. on Processing Image Signals and Pattern Recognition UKROBRAZ'2002 (2002), pp. 23–26.

  11. A. Albert, Regression, Pseudo-Inversion, and Recurrent Estimation [Russian translation], Nauka, Moscow (1977).

    Google Scholar 

  12. Piegl, Les and Tiller, and Wayne, The NURBS Book, 2nd Ed., Springer-Verlag, Berlin (1996).

    Google Scholar 

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Kirichenko, N.F., Krak, Y.V. & Polishchuk, A.A. Pseudoinverse and Projection Matrices in Problems of Synthesis of Functional Transformers. Cybernetics and Systems Analysis 40, 407–419 (2004). https://doi.org/10.1023/B:CASA.0000041999.63598.28

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  • DOI: https://doi.org/10.1023/B:CASA.0000041999.63598.28

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