计算结果表明，其预报精度优于常规的统计回归模型。

The result shows that the prediction is more precise than that of the regression model.

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人工神经网络不具备统计回归模型的显式表达形式，是一种隐式模型，因而有它的缺陷性。

Artificial neural network is a kind of implicit expression without explicit expression as statistical regression model, and it is its disadvantage.

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实践表明：两种模型对毛条的豪特长度、长度变异、短纤维含量和精梳落毛率均能进行较为准确的预测，其中人工神经网络预测模型预测效果优于统计回归模型。

Application experience has been shown that both methods have good prediction performance in which the ANN method has better prediction performance in comparison with multiple regression method.

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