DocumentCode
1637487
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
Volume
2
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
1964
Lastpage
1969
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location
Honolulu, HI
Print_ISBN
0-7803-7282-4
Type
conf
DOI
10.1109/CEC.2002.1004544
Filename
1004544
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