The Principal Component Regression (PCR) and Partial Least Square Regression (PLSR) methods are applied to determine the weight of the RBF networks with certain good results.
将主成分回归(PCR)和偏最小二乘回归(PLSR)的方法引入RBF网络中,提出了分别采用这两种方法确定网络权重的算法。
Then analysis several main factors use of principal component analysis algorithm, rejecting the factor with minimum weight.
对其中的几个主要因素进行主成分分析,剔除权重最小的因素;
The 5 body measurements and weight of 815 Qinchuan cows at five different age phases are studied by principal component analysis.
对陕西蒲城县和渭南市临渭区5个不同年龄阶段815头秦川母牛的5项体尺和体重性状进行了主成分分析。
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