Feed-forward and Feedback Self-adaptive Blind Signal Separation of Process Signal

Make use of the self learning ability of neural network to realize blind signal separation has been proved as a efficient method for signal separation. Different neural network model can produce distinct algorithm efficiency. For the need of the real time process control, based on the feed forward and feedback neural network model, this paper develops a self adaptive blind source separation algorithm and applies it to the separation of process signal. The performance of the proposed algorithm is illustrated by computer simulation experiments.