将灰色系统理论、人工神经网络及时间序列分析方法相结合，建立灰色组合模型，通过对腐蚀速率测量数据序列的趋势性、周期性及随机性成分分别建模，从而实现对腐蚀速率的预测。实例表明，灰色组合模型的预测精度高于其它几种预测方法，具有推广价值。
Grey system theory and the method of time series analysis are combined to create a grey combination model. Box-Jenkins model is introduced to analyze random component. Grey combination model is applied to predict change trend of eroding velocity for pipe, and the performance of which is proved to be good by an example. The model is compared with other methods, then got a conclusion that the precision of the model is superior.
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