%0 Journal Article
%T NEURAL NETWORK APPROACH IN RESEARCH OF METAL CORROSION IN SOIL<br>神经网络在金属土壤腐蚀研究中的应用
%A GUO Zhihu
%A JIN Minghui
%A GUI Xiuwen
%A MENG Xialan
%A XING Zhengliang
%A LUO Yi
%A <br>郭稚弧
%A 金名惠
%A 桂修文
%A 孟厦兰
%A 邢政良
%A 罗逸
%J 腐蚀科学与防护技术
%D 1995
%I 
%X This paper introduce neural network approach to study the non-linear reationshipbetween the physical and chemical properties and corrosion rate of carbon steel in soil from the collected corrosion data. The corrosion rate of carbon steel in soil can be predicted by trained neural nerwork. In the study, a neural network with 5-8-1 structure was used. The learning algorithm is BP (back-propagation) algorithm. As a result, H2O and Cl-ion in soil are dominant factors influencing corrosion of carbon steel.
%K soil corrorion
%K neural network
%K corrosion rate<br>土壤腐蚀
%K 神经网络
%K 腐蚀速度
%K 金属材料
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=AB188D3B70B071C57EB64E395D864ECE&jid=9F6E6EC8BA5BB62698F6640073DDD6E1&aid=B1BF9E1D383F85823BCE0DF3271F32AC&yid=BBCD5003575B2B5F&vid=DF92D298D3FF1E6E&iid=38B194292C032A66&sid=B799C1769FCACDC8&eid=30897FA31CA3354D&journal_id=1002-6495&journal_name=腐蚀科学与防护技术&referenced_num=22&reference_num=0