Research of Enhancing Smooth Degree of data sequence Based on Genetic Algorithm and Its Application

In this paper, the methods of enhancing smooth degree of original data sequence by means of function transformation are studied and the method of power function x^-a (a > 0) transformation against modeling data is put forward. Moreover, the shortages of function transformation are pointed out when the parameters of the function transformation are selected and the realization methods of function transformation based on GA are given. The method can widen range of application of grey model. At last, the model of Chinese country per-capita housing areas is built by means of the method and the model´s precision is 99%. The example of application shows the effectiveness of the proposed approach.