ANFIS 기반 웨이브렛 신경망 시스템의 연구 = A study on Wavelet Neural Network System based on ANFIS

다국어 초록 (Multilingual Abstract)

In this paper, it could improved on the arbitrary nonlinear function learning approximation which have the wavelet neural network based on Adaptive Neuro-Fuzzy Inference System(ANFIS) and the multi-resolution Analysis(MRA) of the wavelet transform. ANFIS structure is composed of a bell type fuzzy membership function, and the wavelet neufal network structure become composed of the forward algorithm and the backpropagation neural network algorithm. This wavelet composition has a single size, and it is used the backpropagation algorithm for learning of the wavelet neural network base ANFIS. It is confirmed to be improved the wavelet base number decrease and the convergence speed performances of the wavelet neufal network base ANFIS Model which is using the wavelet translation parameter learning and bell type membership function of ANFIS than the conventional algorithm from 1 dimension and 2 dimension functions.