摘要
提出了实验数据模糊优化的概念 ,给出了实验数据回归分析与回归模型最优解的非线性规划算法 。
The concept of the fuzzy optimum treating on experiment data is proposed.The nonlinear programming algorithm for the regression analysis of the experiment data and the optimum solution of the regression model is given. This concept and algorithm have universal significance for the optimum treating of the experiment data.
出处
《计算机自动测量与控制》
CSCD
2000年第2期48-50,共3页
Computer Automated Measurement & Control
关键词
数据处理
模糊优化
回归分析
实验数据
data treating
fuzzy optimization
regression analysis
nonlinear programming algorithm
