THE EVOLVING ADAPTIVE NEURAL NETWORK FOR DATA PROCESSING WITH MISSING OBSERVATIONS

Authors

  • A. Shafronenko Kharkiv National University of Radio Electronics, Ukraine, Ukraine
  • I. Pliss Kharkiv National University of Radio Electronics, Ukraine, Ukraine
  • Ye. Bodyanskiy Kharkiv National University of Radio Electronics, Ukraine, Ukraine

DOI:

https://doi.org/10.15588/1607-3274-2013-2-19

Keywords:

neural network, orthogonal polynomials, Chebyshev polynomials, incomplete data with missing observations

Abstract

The problem of computational intelligence systems synthesis in on-line mode, capable for processing stochastic signals with missing observations in the data is considered. An adaptive approach based on using of orthogonal polynomials is developed.

References

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Published

2013-10-16

How to Cite

Shafronenko, A., Pliss, I., & Bodyanskiy, Y. (2013). THE EVOLVING ADAPTIVE NEURAL NETWORK FOR DATA PROCESSING WITH MISSING OBSERVATIONS. Radio Electronics, Computer Science, Control, (2). https://doi.org/10.15588/1607-3274-2013-2-19

Issue

No. 2 (2013): Radio Electronics, Computer Science, Control

Section

Neuroinformatics and intelligent systems

License

Copyright (c) 2014 A. Shafronenko, I. Pliss, Ye. Bodyanskiy

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