Abstract:In nowadays, the best method far automatic seismic trace editing is Novelty filter method presented by Mr. Zhang Xuegong and Mr. Li Yanda. This method uses the neural network which is based on minus Hebb rule and has one layer of neurones connected each other by feedhacks. The neural network works in two steps:training and detecting. If a stationary sample sequence is inputted in each time in the training stage, the output sequence will converge rapidly with the increase of iteration;what is more, the network system remembers the signal series. If the inputted signals in detecting stage are consistent with those in training stage,the network gives a small output, otherwise a big output. In order to make learning sample have statistical properties, a batch of sample sequences must be inputted, thus bringing troubles to the network. To remove the troubles caused by the increase of inputted sample sequences, we use the network which has one layer of neurones connected each other by feed forward. This neural network results in good convergence, fast operation and easy realization.