A neural network algorithm using wavelets and autoregressive inputs for system identification
Jason R. Hull, Hemant P. Pendse, Mohamad T. Musavi · Proceedings of International Conference on Neural Networks (ICNN'97) · 2002
A novel algorithm is presented for the determination of a wavelet neural network architecture with the addition of autoregressive external input. The network is constructed on the basis of a multiresolution grid and refined using a modified Gram-Schmidt orthogonalization. The network was tested against a one dimensional test function of varying frequency, an eight dimensional sunspot series, and a transfer function model of a U-tube heat exchanger.