Application of Neural Networks in Digital Data Processing

This paper deals with designing the adaptive filter based on neural networks and using derivatives of signals. The two-stage procedure of adaptive filtering is proposed. Expressions for filter procedure including determining errors and activation function are given. The generalized structure of the adaptive filter based on neural network is represented. The appropriate software is developed. The efficiency of using derivatives in a neural networks is shown. The results of neural network learning are represented graphically.