摘要
本文采用人工神经网络技术建立了碳钢、低合金钢在海水飞溅区腐蚀速率的人工神经网络拓扑结构,并预测了16Mn钢在海水飞溅区的腐蚀速率发展趋势,网络模型预测结果和实测数据紧密相符,预测结果比较理想,该方法为腐蚀专业和非腐蚀专业的工程技术人员提供腐蚀分析的依据。
In this paper the topology structure of corrosion rate of the carbon steel and low alloy steel in splash zone is established with artificial neural network,and the developmental tendency of corrosion rate in splash zone about 16Mn is forecasted,the forecast result of network model check with the experimental date,the result is perfect,the basis of corrosion analysis is provided to the corrosion professional and not professional with this method.
出处
《世界科技研究与发展》
CSCD
2009年第1期71-73,共3页
World Sci-Tech R&D
基金
国家科技支撑计划资助(课题号:2007BAB27B06)
关键词
人工神经网络
计算机预测
腐蚀
artificial neural networks
computer forecast
corrosion