Title :
The method of identifying weights of artificial neural networks with radial basis functions based on multiple-set approach
Author :
Savka, Nadya ; Nemish, Vasyl ; Kushnir, Oksana
Author_Institution :
Ternopil´´ Nat. Econ. Univ., Ternopil, Ukraine
Abstract :
The analysis methods of identification of artificial neural networks (ANN) with radial basis functions. Characterizes the main drawback of the method of identification based on quadratic criteria. The method of identifying weights ANN with RBF based on set-theoretic approach.
Keywords :
radial basis function networks; set theory; ANN; RBF; artificial neural networks; multiple set approach; quadratic criteria; radial basis functions; set theoretic approach; weight identification; Artificial neural networks; Complexity theory; Artificial neural networks; Method of identification; Multiple-set approach; Radial basis functions;
Conference_Titel :
Modern Problems of Radio Engineering Telecommunications and Computer Science (TCSET), 2012 International Conference on
Conference_Location :
Lviv-Slavske
Print_ISBN :
978-1-4673-0283-8
