| 3C钢腐蚀速度与海水环境参数关系的人工神经网络分析 |
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| 引用本文： | 刘学庆,唐晓,王佳. 3C钢腐蚀速度与海水环境参数关系的人工神经网络分析[J]. 中国腐蚀与防护学报, 2005, 25(1): 11-14 |
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| 作者姓名： | 刘学庆 唐晓 王佳 |
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| 作者单位： | 1. 中国科学院海洋研究所,青岛,266071;中国科学院研究生院,北京,100039
2. 中国海洋大学,青岛,266003;金属腐蚀与防护国家重点实验室,沈阳,110016 |
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| 基金项目： | 国家 8 63计划资助项目 (2 0 0 1AA63 5 0 80 ) |
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| 摘 要： | 采用电化学方法测定了3C钢在不同海水环境参数下的腐蚀速度，并根据四层BP神经网络分析了3C钢腐蚀速度与海水环境参数的相关性，建立了3C钢在海洋环境中腐蚀速度的人工神经网络模型。
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| 关 键 词： | 海水环境参数 腐蚀速度 人工神经网络 |
| 文章编号： | 1005-4537(2005)01-0011-04 |
CORRELATION BETWEEN SEAWATER ENVIRONMENTAL FACTORS AND MARINE CORROSION RATE USING ARTIFICIAL NEURAL NETWORK ANALYSIS |
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| LIU Xueqing,TANG Xiao,WANG Jia. CORRELATION BETWEEN SEAWATER ENVIRONMENTAL FACTORS AND MARINE CORROSION RATE USING ARTIFICIAL NEURAL NETWORK ANALYSIS[J]. Journal of Chinese Society For Corrosion and Protection, 2005, 25(1): 11-14 |
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| Authors: | LIU Xueqing TANG Xiao WANG Jia |
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| Affiliation: | LIU Xueqing 1,2,TANG Xiao 1,2,WANG Jia 3,4 |
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| Abstract: | Seawater environmental factors are important to corrosion rate of metals,however,because of the complexity of relationship between environmental factors,it is difficult to describe the relationship by a certain definitive function.Artificial neural network (ANN) has great capability of simulating polynary nonlinear system,and it is suitable to deal with complex data.Corrosion rate of 3C steel in different seawater environmental factors was measured by electrochemical methods.A four-layer-BP-ANN was set up and dealt with above data.The relative error between results calculated and measured was small,which showed that ANN was suitable to apply in the field of marine corrosion. |
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| Keywords: | seawater environmental factor corrosion rate artificial neural network |
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