| 应用人工神经网络预测有色金属海水腐蚀的长期行为 |
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| 引用本文： | 崔大为,林乐耘,赵月红. 应用人工神经网络预测有色金属海水腐蚀的长期行为[J]. 中国腐蚀与防护学报, 2004, 24(1): 29-32 |
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| 作者姓名： | 崔大为 林乐耘 赵月红 |
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| 作者单位： | 北京有色金属研究总院,北京,100088 |
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| 基金项目： | 国家自然科学基金“我国海域海水对铝合金的腐蚀性研究”资助 ( 5 0 0 710 12 ) |
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| 摘 要： | 建立人工神经网络，并利用4个实海暴露站点8年累积的腐蚀数据对其进行训练．在训练成功以后，应用其对合金的16年腐蚀行为进行预测．预测结果与实际结果的误差在20％以内，远比传统的函数回归方法小．尤其对于规律性差，无法成功进行函数回归的腐蚀数据，应用人工神经网络预测却能得到较为准确的结果。
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| 关 键 词： | 人工神经网络 海水腐蚀 腐蚀预测 |
| 文章编号： | 1005-4537(2004)01-0029-04 |
PREDICTION OF CORROSION BEHAVIOR OF NONFERROUS METALS IN SEAWATER WITH ANN |
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| CUI Dawei,LIN Leyun,ZHAO Yuehong. PREDICTION OF CORROSION BEHAVIOR OF NONFERROUS METALS IN SEAWATER WITH ANN[J]. Journal of Chinese Society For Corrosion and Protection, 2004, 24(1): 29-32 |
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| Authors: | CUI Dawei LIN Leyun ZHAO Yuehong |
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| Abstract: | Set up an artificial neural net and train it with the data provided by four seawater corrosion experiment stations.After the succession of training,the net can predict any kind of metals corrosion status on 16 years and the comparative error is not beyond 20 percent.Compare with the way of function regression,this result is more accurate.The net can also trained with the anomaly data that can not regress to any function and the the net can make an accurate prediction. |
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| Keywords: | artificial neural net seawater corrosion the prediction of corrosion |
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