Abstract: A blind equalization algorithm based on fuzzy neural network is proposed.Blind channel estimation and fuzzy neural network classifier are utilized to realize blind equalization.Firstly blind channel estimation is used to identify the character of the channel.Signals are rebuilt by de-convolution，and the original judgment equipment is replaced by fuzzy neural network classifier.Simulations indicate that the novel algorithm improves convergence and bit error rate and so on.