Research on intelligent fitting method for multivariate nonlinear polynomials and its application
Yong Wang · Jisuanji yu yingyong huaxue · 2004
The intelligent fitting method for multivariate nonlinear polynomials was presented,which was based on combining matrixmethod with genetic algorithm.The multivariate nonlinear polynomials was firstly transformed to multivariate linear polynomials,andthe least squares standard matrix was established.Then the number of polynomials term,the type and the order of every term weresearched and combined to obtain the optimum fitting function by genetic algorithm,and the purpose of intelligent fitting was realized.The Jinzuyuan's general correlation graph of pressure drop of huddle packed layer was fitted by using the above method,and the resultswere satisfactory.The intelligent fitting method has more advantages than the traditional unintelligent method,such as automatically se-lecting optimum polynomials and higher precision.The intelligent fitting method programmed by Visual Basic 6.0 has good stability andfast convergent speed.