Title :
Identification of artificial neural networks with radial basis functions by methods of interval data analysis
Author :
Savka, Nadya ; Dyvak, Mykola
Author_Institution :
Ternopil´´ Nat. Economic Univ., Ternopil, Ukraine
Abstract :
The basic characteristics of artificial neural networks (ANN) with radial basis functions (RBF) was researched. The main problems related with adjusting the parameters of the ANN with RBF was considered.
Keywords :
data analysis; radial basis function networks; artificial neural network identification; interval data analysis method; radial basis functions; Adaptation model; Artificial neural networks; Data analysis; Neurons; Nonlinear dynamical systems; Artificial Neural Network; Identification; Interval Analysis; Radial Basis Functions;
Conference_Titel :
CAD Systems in Microelectronics (CADSM), 2011 11th International Conference The Experience of Designing and Application of
Conference_Location :
Polyana-Svalyava
Print_ISBN :
978-1-4577-0042-2
