Application of Improved BP Neural Network Based on LM Algorithm in Desulfurization System of Thermal Power Plant

被引：0
|
作者：
Cheng, Huanxin [1 ]
Cui, Lijie [1 ]
Li, Jing [1 ]
机构：
[1] Qing Dao Univ Sci & Technol, Sch Automat & Elect Engn, Qing Dao, Peoples R China
来源：
2017 CHINESE AUTOMATION CONGRESS (CAC) | 2017年
关键词：
flue gas wet desulphurization; improved BP neural network; LM algorithm; desulfurization efficiency;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Use flue gas wet desulphurization technology to reduce the emissions of sulfur dioxide. The improved BP neural network model based on LM algorithm was established according to the factors that influence sulfur dioxide emissions, and the network weights and threshold value were adjusted repeatedly. The real data obtained from thermal power plants are simulated and verified. The results show that the improved BP network prediction model of LM algorithm has higher prediction accuracy of desulfurization efficiency, and has certain guiding significance for field operation.
引用
收藏
页码：5917 / 5920
页数：4
相关论文
共 50 条
  • [1] BP Neural network research based on three convergence improved LM algorithm
    Guo, Xiucai
    Shang, Saihua
    [J]. SENSORS, MEASUREMENT AND INTELLIGENT MATERIALS, PTS 1-4, 2013, 303-306 : 1543 - 1546
  • [2] Application of Improved Algorithm of BP Neural Network
    Shi, Qingzi
    Zeng, Zhicheng
    Tang, Jiaxuan
    [J]. ADVANCED INTELLIGENT TECHNOLOGIES FOR INDUSTRY, 2022, 285 : 163 - 168
  • [3] Application of PID Control Algorithm Based on Improved BP Neural Network to Turntable System
    Feng, Yang
    Xu, Qingjiu
    [J]. MECHATRONICS AND INTELLIGENT MATERIALS II, PTS 1-6, 2012, 490-495 : 191 - +
  • [4] The Application on the Forecast of Plant Disease Based on an Improved BP Neural Network
    Jin, Baoshi
    Zuo, Yuhu
    Ma, Xiaodan
    Guan, Haiou
    Tan, Feng
    [J]. MATERIALS SCIENCE AND INFORMATION TECHNOLOGY, PTS 1-8, 2012, 433-440 : 5469 - +
  • [5] An improved BP neural network algorithm and its application
    School of Physical Education and Health, East China Normal University, Shanghai, China
    不详
    [J]. Metall. Min. Ind., 3 (175-181):
  • [6] Research and Application on Improved BP Neural Network Algorithm
    Xie, Rong
    Wang, Xinmin
    Li, Yan
    Zhao, Kairui
    [J]. ICIEA 2010: PROCEEDINGS OF THE 5TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOL 3, 2010, : 310 - 314
  • [7] Artificial neural network power system stabiliser trained with an improved BP algorithm
    Guan, L
    Cheng, S
    Zhou, R
    [J]. IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION, 1996, 143 (02) : 135 - 141
  • [8] The model and application of the financial risk evaluation in power enterprises based on improved BP neural network algorithm
    Liu, Zhibin
    Xiong, Fengshan
    [J]. International Conference on Management Innovation, Vols 1 and 2, 2007, : 524 - 528
  • [9] BP Neural Network and Its Improved Algorithm In the Power System Transformer Fault Diagnosis
    Zhang, HaoQian
    [J]. APPLIED MECHATRONICS AND ANDROID ROBOTICS, 2013, 418 : 200 - 204
  • [10] The Application of Improved BP Neural Network Algorithm in Lithology Recognition
    Shao, Yuxiang
    Chen, Qing
    Zhang, Dongmei
    [J]. ADVANCES IN COMPUTATION AND INTELLIGENCE, PROCEEDINGS, 2008, 5370 : 342 - +
12345