The general form of CUSI neuron model and its learning algorithm are given, and apply it to geological data analysis and get the better effect than linear regression.
提出了CUSI神经元模型的一般形式，给出其学习算法。通过实例将CUSI神经元模型应用到地质数据的分析上，取得了比线性回归更好的效果。
Objective to relax linear assumption of explanatory variables in general linear model and explore more-dimensional spline regression analysis model.
目的放宽经典线性模型中的多个解释变量的线性假定和探讨多维样条回归分析模型。
The general process of regression analysis in traffic engineering is displayed in this paper, including model design and model test.
叙述回归分析用于交通工程建模中的一般流程，即模型设计和模型检验。
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