Optimization of the Radial Basis Function Network Using Time-Frequency Localization

시간-주파수 분석을 이용한 방사 기준 함수 구조의 최적화

In this paper, we propose the initial optimized structure of the Radial Basis Function Network which is more simple in the part of the structure and converges more faster than Neural Network with the analysis method using Time-Frequency Localization. When we construct the hidden node with the Radial Basis Function whose localization is similar with an approximation target function in the plane of the Time and Frequency, we make a good decision of the initial structure having an ability of approximation.