It proposes two data reduction models based on discernibility matrix and data analysis separately, improves the discernibility matrix algorithm and made the comparison between the two models.
提出了基于分辨矩阵和数据分析的两种数据约简模型，并对分辨矩阵算法做了改进，最后对这两种模型进行了比较。
Finally, the forecast results are compared between the two kinds of models. The comparison results indicate the feasibility of PGNN model.
最后，对两种预测模型的结果进行了对比，验证并联型灰色神经网络预测模型的可行性。
Numerical examples are given to make comparison between the two numerical models.
给出了算例来对这两个数值模型作比较。
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