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。

Finally, the forecast results are compared between the two kinds of models. The comparison results indicate the feasibility of PGNN model.

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对比发现，利用组合灰色神经网络模型预测的位移值较单独的灰色模型预测的位移值具有更高的精度。

It is more accurate of the forecasting results by the composite gray neural network model than that by the only gray models by comparison.

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针对城市电力系统年用电量增长的特点，将灰色神经网络模型GNNM(1,1)引入城市年用电量预测。

According to the speciality of electricity demand development in a city, the grey neural network model GNNM (1, 1) was introduced into the field of city electricity demand forecasting in this paper.

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