spline regression meaning in Chinese

样条回归

The stratified bayesian method for smoothing spline regression
光滑样条回归的分层贝叶斯方法
In view of the fact that the genetic algorithm of stochastic programming based on random simulated technology has succeed greatly , this paper points out that changing parameters of genetic algorithm can obtain a sequence of optimum values of goal function . taking these genetic algorithm values as sampling data , we can get fitting optimum function by using multivariate spline regression and get the lipschitzs constant of the fitting optimum function . so for any chance constrained programming problem , we can get its interval estimate
鉴于基于随机模拟技术的遗传算法在求解随机规划问题上的优越性，本文指出，改变遗传算法的参数条件，在此基础上求得机会约束规划的若干个最优值，以这些最优值为样本点，利用多元样条回归，拟合得到最优值函数，进而求出最优值函数的lipschitzs常数，从而对于任一机会约束规划问题，都可以得到它的一个区间估计。