...变量选择方法；年份预测法 [gap=1105]Key words: load forecasting; BP neural network; data processing method; variable selecting method; yearforecastmethod ...
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变量选择在统计建模过程中是极其重要的问题，但传统的变量选择方法却存在一些不足。
Variable selection in statistical modeling process is an extremely important issue, but there are some drawbacks in the traditional variable selection methods,.
同时，一致关联度算法可以准确的提取变量间的相关性，是一种有效的辅助变量选择方法。
Meanwhile, uniform incidence degree arithmetic can exactly obtain the correlation between variables, which is an effective way to select secondary variables.
该方法有明确的理论依据，并具有很强的可操作性，是一种比较科学系统的输入变量选择方法。
This approach has clear theory foundation and very strong maneuverability, and it is a systemic and scientific method for input variables selection.
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