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

Abstract

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