A new prediction approach for railway passenger volume is put forward by means of LeastSquares Support Vector Machine (LS-SVM).
提出了一种基于最小二乘支持向量机(LS - SVM)的铁路客运量预测的新方法。
2
The LZ algorithm presented in this paper makes possible the solution of the multiple regression analysis problems in management prediction without turning to the commonly used method of leastsquares.
本文提出的LZ算法,使管理预测中所涉及的多项目回归分析问题,无需采用最小二乘法就能得到解决。
3
The paper establishes the model for the urban life-water quantity prediction by means of combining neural network with the partial leastsquares method.