Active noise control using a simplified fuzzy neural network

In this paper,the nonlinear active noise control(ANC) is discussed.An adaptive nonlinear noise control approach,using a simplified fuzzy neural network(SFNN) is derived.Only one input is required in the control system,fewer parameters are utilized and the computing load is reduced greatly by using the time delay output.An on-line learning algorithm based on the error gradient descent method is proposed.Since the SFNN is a local approximated neural network,the convergence rate of the SFNN is faster than that of the global approximated neural network.