Rough sets-based recursive learning algorithm for radial basis function networks

  • Authors:

  • Yevgeniy Bodyanskiy;Yevgen Gorshkov;Vitaliy Kolodyazhniy;Irina Pliss

  • Affiliations:

  • Control Systems Research Laboratory, Kharkiv National University of Radioelectronics, Kharkiv, Ukraine;Control Systems Research Laboratory, Kharkiv National University of Radioelectronics, Kharkiv, Ukraine;Control Systems Research Laboratory, Kharkiv National University of Radioelectronics, Kharkiv, Ukraine;Control Systems Research Laboratory, Kharkiv National University of Radioelectronics, Kharkiv, Ukraine

  • Venue:
  • ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
  • Year:
  • 2005

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Abstract

A recursive learning algorithm based on the rough sets approach to parameter estimation for radial basis function neural networks is proposed. The algorithm is intended for the pattern recognition and classification problems. It can also be applied to neuro control, identification, and emulation.