The same digital linear graphics is evaluated by different membership functions and different evaluation models, it result in some useful conclusions.
通过选用不同的隶属函数和不同的评判模型对同一数字线划图进行了评价，得出了一些有益的结论。
In prediction and modeling, most the responses were found to be best trained using Gaussian input membership functions with a linear output function.
在预测和建模中，通过大量研究发现，最好使用高斯输入函数和线性输出函数。
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