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。
By using the methods of least square and minimum entropy deconvolution to process the well-log, the effect of well and wall rocks can be removed, so that the thickness of each layer can be determined.
本文通过最小平方反滤波和最小熵反滤波两种方法对测井曲线进行处理，就可以消除井与围岩的影响，实现准确分层定厚的目的。
The two methods of model simplification are presented for large scale systems, they are the least square approximation and the rational fraction approximation.
本文针对大系统的频域模型简化提出了两种方法：最小二乘近似法和有理分式近似法。
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