The paper presents the method of calculation of distribution loss using neural network MLQP. The precision of this method is much higher than of normal regression analysis method.
本章讨论了利用多层二次神经网络计算配电网线损的方法，其精确度远远高于常规的回归分析法。
The present method extends the traditional multiple regression analysis that is only suitable to normal distribution and complete data to Weibull distribution, extreme distribution and censored data.
传统的多元回归分析只适用于正态分布和完全数据的情况，而本文则将其推广到威布尔分布、极值分布和截尾数据的情况。
The comparisons between hypertensives and their matched controls, the comparisons between groups of high body weight and normal (or low) body weight and the multiple regression analysis were made.
无论作高血压病例配对比较、超重组与非超重组的对比研究或者多因子回归分析。
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