One of r's strengths is its ability to calculate linear, as well as nonlinear regression models.

计算线性与非线性回归模型的能力是R的强大功能之一。

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Overall, ANNs have higher predictive ability than logistic regression, perhaps because they are not affected by interactions between factors.

结论：综上所述，人工神经网模型比起逻辑退化有较高的可预测性，可能由于它们不受因素间的交互影响。

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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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