摘要
针对工程测量和科研活动,根据回归性分析中较为先进的偏最小二乘法原理,以Matlab为平台,设计了实用的C++Builder回归性分析程序.利用该程序,得到大米近红外光谱和其对应蛋白质含量的模型,模型预测结果和观测值的相关系数为0.993 2,模型的显著性检验F值为1.009 3.
Regression Analysis is a routine means of research and design. In this paper, the design of a regression program based on the principle of Partial Least Square and by using the interface of Matlab and C＋＋Builder is presented discussed. A module, which links rice infrared spectra and its protein, has been set up by this model. The correlation coefficient between the model＇s predicate results and real detected data is 0. 993 2 ; the model＇s F value of F-Statistic is 1. 009 3.
出处
《江南大学学报（自然科学版）》
CAS
2006年第1期34-37,共4页
Joural of Jiangnan University (Natural Science Edition)
基金
河南省高校青年骨干教师基金项目(09003016)
