General regression neural network is proved with certain superiority in the ability of approaching, classification and learning speed.

广义回归神经网络在逼近能力、分类能力和学习速度方面具有较强优势。

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It is found that it is better to predict the return rate with general regression neural network than with grey prediction and multiple regression model.

再以广义回归神经网络建立预测模型，与灰预测模型、多元回归模型进行预测能力及报酬率的比较分析。

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It is found that it is better to predict the return rate with general regression neural network than with grey prediction and multiple regression model.

再以广义回归神经网络建立预测模型，与灰预测模型、多元回归模型进行预测能力及报酬率的比较分析。

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