Application of fuzzy neural network to the noise cancellation
Yao Hong-we · 1999
A learning algorithm based on an improved fuzzy clustering algorithm is proposed.The classical fuzzy clustering algorithm is improved with genetic algorithms. A function formeasuring clustering validity is defined with which the number of classes can be determined.The structure of fuzzy neural network is determined in the view of this method. The simulated results show that fuzzy neural network can be successfully applied to the field of the noise cancellation.