Application research on genetic programming in the prediction of mining subsidence

Abstract

Based on unique advantage of genetic programming on solving linear problems, it was introduced into mining subsidence. By using relevant data of mining subsidence and the method of genetic programming, the nonlinear relation between maximum amount of mining subsidence and its influencing factos was set up. Compared with practical data, the results showed that the prediction accuracy of mining subsidence was improve effectively by using the method than other prediction methods, and a new idea for prediction of mining subsidence was provided.