Noise Cancellation Based on Improved RBF Fuzzy Neural Network Filtering
Huailai Zhou · Jisuanji fangzhen · 2007
The structure and learning algorithm of the antecedent and subsequent network were improved to overcome the shortcoming of redundant fuzzy rule.Based on the approximation of nonlinear noise signal,the system could get to noise cancellation.At one time,it was applied to the filter processing of seismic signal,and simulation results testified the improved RBF fuzzy neural network's nature of learning algorithm simplicity,a little quantity in its calculation and good for processing in real-time.It is shown that the filter is good for restraining noise with improved RBF fuzzy neural network.