Based on the analysis of wavelet transform and PLS,a new type of neural network:wavelet function based neural network with nonlinear PLS has been proposed and applied to dynamic process monitoring.According to the complicated properties of the noise in the real process,a filter algorithm using orthonomal discrete wavelet transform has been proposed.The theoretical analysis and application results have shown that the algorithms are feasible and effective.
