Your Location：
Home >
Browse articles >
Catalyst Volume Design in SCR Denitrification System Based on Genetic Algorithm Optimized BP Neural Network
Power Generation Technology   Vol. 40, Issue 3, Pages: 246-252(2019)
Energy Clean and Efficient Utilization in Coal-fired Power Systems|Updated：2025-07-04
|

  • Export

  • Collection

  • Album

    • Catalyst Volume Design in SCR Denitrification System Based on Genetic Algorithm Optimized BP Neural Network

    • DOI：10.12096/j.2096-4528.pgt.19102    

      CLC：

    Scan QR Code

  •  
  •  
icon
The trial reading is over, you can activate your VIP account to continue reading.
Deactivate >
icon
The trial reading is over. You can log in to your account, go to the personal center, purchase VIP membership, and read the full text.
Already a VIP member?
Log in >

48

Views

192

Downloads

0

CSCD

Alert me when the article has been cited
Submit
Outline

Related Articles

Distribution Networks Fault Recovery Strategy Fused With Convolutional Neural Networks-Bi-Directional Long Short-Term Memory-Attention Net Load Forecasting
Research on Temperature Situation Awareness and Auxiliary Decision-Making System Scheme of Substation Equipment
Research on an Ultra-Short-Term Wind Speed Prediction Method Based on Improved Combined Neural Networks
Study on Uncertainty Operation Optimization of Virtual Power Plant Based on Intelligent Prediction Model Under Climate Change
Pressure Difference Prediction of Air Preheater in Coal-Fired Power Plant Based on BP Neural Network and Support Vector Regression

Related Author

SHI Pengfei
HOU Shixi
LÜ Zhan
LIN Zhengyu
DING Zekai
CHU Yundi
ZHU Li
ZHENG Jian

Related Institution

State Grid Jiangsu Nanjing Electric Power Supply Company
College of Artificial Intelligence and Automation, Hohai University
College of Management, Anhui Science and Technology University
Zhejiang Talent Electric Group Co., Ltd.
College of Electrical Engineering & New Energy, China Three Gorges University