A Forecast Model Based on The BP Neural Network Used in Refinery's Steel Equipment's Corrosion

被引：2
|
作者：
Ma, Zhuo [1 ]
Lin, Kunhui [1 ]
Jiang, Xiangmin [1 ]
Zhou, Changle [2 ]
Liu, Han [1 ]
机构：
[1] Xiamen Univ, Software Sch, Xiamen 361005, Fujian, Peoples R China
[2] Xiamen Univ, Dept Comp Sci, Xiamen 361005, Fujian, Peoples R China
来源：
ICCSSE 2009: PROCEEDINGS OF 2009 4TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION | 2009年
关键词：
neural network; BP algorithm; corrosion;
D O I：
10.1109/ICCSE.2009.5228483
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The forecasting of the corrosion of refinery's steel equipments shows great importance in preventing the accident. Considering the numerous factors affecting the corroding of refinery's 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 refinery's 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.
引用
收藏
页码：1138 / +
页数：2
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