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. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Bodyanskiy, Y., Gorshkov, Y., Kolodyazhniy, V., & Pliss, I. (2005). Rough sets-based recursive learning algorithm for radial basis function networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3697 LNCS, pp. 59–65). https://doi.org/10.1007/11550907_10
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