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
相关论文
共 50 条
  • [21] Research on the fault diagnosis method of equipment functionally significant instrument based on BP neural network
    Zan X.
    Zhang S.-X.
    Gao H.
    Zhang Y.
    Han C.-S.
    Zan, Xiang (zan_xiang.student@sina.com), 1600, Springer Heidelberg (00): : 339 - 349
  • [22] Use BP Neural Network set up the Corrosion Prediction Model of Low Temperature Parts of Atmospheric Pressure Device
    Fan, Yu Guang
    Piao, Zai Dong
    Chen, Bing
    Lin, Hong Xian
    Yang, Yang
    MECHANICAL ENGINEERING AND MATERIALS, PTS 1-3, 2012, 152-154 : 1138 - 1142
  • [23] A Model of Evaluating English Teaching Quality Based on the BP Neural Network
    Ma, Hong
    2014 4TH INTERNATIONAL CONFERENCE ON APPLIED SOCIAL SCIENCE (ICASS 2014), PT 4, 2014, 54 : 17 - 21
  • [24] Remote sensing image classification based on BP neural network model
    ZHENG Yong-guo
    Transactions of Nonferrous Metals Society of China, 2005, (S1) : 240 - 243
  • [25] Prediction Model of Centrifugal Fan Performance Based on BP Neural Network
    Zhang, Lei
    Hu, Chenxing
    Zhang, Qian
    APPLIED MECHANICS AND MATERIALS I, PTS 1-3, 2013, 275-277 : 2455 - 2458
  • [26] Research on Evaluation Model of Entrepreneurship Education Based on BP Neural Network
    Yu, Jin
    Chen, Jiaping
    JOURNAL OF INFORMATION & KNOWLEDGE MANAGEMENT, 2023, 22 (05)
  • [27] Remote sensing image classification based on BP neural network model
    Zheng, YG
    Wang, P
    Ma, J
    Zhang, HB
    TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA, 2005, 15 : 232 - 235
  • [28] A Student's Grade Evaluation Model for Network Teaching System Based on BP Algorithm
    Xia Jun
    Mang Yinshuo
    Wang Peng
    PROCEEDINGS OF 2013 2ND INTERNATIONAL CONFERENCE ON MEASUREMENT, INFORMATION AND CONTROL (ICMIC 2013), VOLS 1 & 2, 2013, : 542 - 545
  • [29] Establishment of constitutive relationship model for 2519 aluminum alloy based on BP artificial neural network
    Qi-quan Lin
    Da-shu Peng
    Yuan-zhi Zhu
    Journal of Central South University of Technology, 2005, 12 : 380 - 384
  • [30] Establishment of constitutive relationship model for 2519 aluminum alloy based on BP artificial neural network
    Lin, QQ
    Peng, DS
    Zhu, YZ
    JOURNAL OF CENTRAL SOUTH UNIVERSITY OF TECHNOLOGY, 2005, 12 (04): : 380 - 384
12345