개선된 RBF신경회로망에 의한 잡음을 갖는 비선형 시스템의 예측

초록

In this paper, RBF(Radial Basis Function) Neural Network is suggested for the prediction of a nonlinear system response. RBF is the model which is based on the locally tuned responses of biological neurons. This model has very fast learning time and is capable of predicting a system behavior with noisy or distorted information. Suggested RBF neural network proposes a way to choose parameters which determine the most suitable RBF to use before learning, whereas with existing RBF neural networks, parameters are determined heuristically. Another key feature of this model is to calculate appropriate total number of RBF's in hidden layer by forward selection method.