A Forecast Model Based on The BP Neural Network Used in Refinerys Steel Equipments Corrosion
The forecasting of the corrosion of refinerys steel equipments shows great importance in preventing the accident. Considering the numerous factors affecting the corroding of refinerys steel equipments, which are uneasily predictable and with complex relationships, this paper proposed a new technology based on the BP neural network technology used in forecasting of the corrosion of refinerys steel equipments. A new model is also built and implemented in this paper. Finally, the experimental results prove the feasibility of the new model and the forecasted results by this new model fixes well with the sample data set.
neural network BP algorithm corrosion
Zhuo Ma Kunhui Lin Xiangmin Jiang Changle Zhou Han Liu
Software School, Xiamen Univ., Xiamen 361005, Fujian, China Computer Science Dept., Xiamen Univ., Xiamen 361005, Fujian, China
国际会议
第四届国际计算机新科技与教育学术会议(2009 4th International Conference on Computer Science & Education)
南京
英文
1138-1141
2009-07-25（万方平台首次上网日期，不代表论文的发表时间）