Title :
Optimal initial structure of the RBF networks using time-frequency localization and genetic algorithm
Author :
Kim, Seong-Joo ; Kim, Jong-Soo ; Seo, Jea-Yong ; Cho, Hyun-Chan ; Jeon, Hong-Tae
Author_Institution :
Sch. of Electr. & Electron. Eng., Chungang Univ., Seoul, South Korea
fDate :
6/24/1905 12:00:00 AM
Abstract :
In this paper, we propose the initial optimized structure of radial basis function networks that is simple and rapidly converges. We construct the hidden node with radial basis functions; their localization is similar to an approximation target function in the plane of time and frequency. We finally make a good decision for the initial structure for function approximation using a genetic algorithm
Keywords :
convergence of numerical methods; genetic algorithms; radial basis function networks; time-frequency analysis; genetic algorithm; hidden node; optimal initial structure; radial basis function networks; time-frequency localization; Convergence; Function approximation; Genetic algorithms; Interpolation; Multidimensional systems; Neural networks; Optimization methods; Radial basis function networks; Surface fitting; Time frequency analysis;
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
DOI :
10.1109/CEC.2002.1004544
