A WNN Based on Single-scaling Wavelet Frame

摘要

Considering the Gaussian RBFN approaching any space continuous function with arbitrary accuracy, a single-scaling radial wavelets network generated by the Gaussian function is presented in this paper. Then the arithmetic of constructing and training networks is proposed on its useful characteristics of time-frequency localization. Finally, apply it to field of function approach, system identification and control and acquire better effects.