Forecast Method of Steel Output based on Self-Adaptive Wavelet Neural Network Model

Steel industry is one of the pillar industries in Chinese national economy, and has made an active contribution to the national economy´s sustained development. Therefore the study in prediction of steel output has become a very important task. In this paper, on the basis of reviewing the existing common prediction methods, we combine wavelet with neural network, put forward a data mining method based on self-adaptive wavelet neural network, and build a machine learning mechanism of data mining process to improve the capability of problem dealing. The demonstration results indicate that compared with general artificial neural network, data mining with self-adaptive wavelet neural network is not only effective but also feasible