Use of immune self-adaptation wavelet for data mining

Based on the existent artificial neural network, a novel-learning algorithm of immune self-adaptation wavelet neural network is proposed which integrates the immune mechanism and the structure of neural information processing. This model makes it easy for a user to directly utilize the characteristic information of a pending problem and to simplify the original structure through adjusting the activation function with the prior knowledge. The analysis in theory and the simulating test for data mining problem show that this method is effective and feasible.