Application of PSO-BP Neural Network Model in SCR system of tail Gas Post-treatment-Reference-Cited by-同舟云学术

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Application of PSO-BP Neural Network Model in SCR system of tail Gas Post-treatment

Published:2022-11-25 Issue: Volume: Page:
ISSN:
Container-title:2022 China Automation Congress (CAC)
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Author:

Zhang ZhengShan¹,Lv XiaFu¹,Gong WenBin¹,Wang YePeng¹

Affiliation:

1. Chongqing University of Posts and Telecommunications,School of Automation,Chongqing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10054511/10054645/10055283.pdf?arnumber=10055283

Reference14 articles.

1. Prediction of photovoltaic power generation based on PSO-BP neural network [J];li;Journal of ZhongYuan University of Technology,2019

2. NOx emission prediction and impact analysis of diesel based on recurrent neural network [J];lun;Journal of Shandong University of Technology(Natural Science Edition),2021

3. Soft Sensor of NOx at SCR Entrance Considering Deviation Compensation PSO-BP Model [J];li;Journal of Lanzhou Jiao Tong University,2020

4. Application of PSO-BP neural network in forecasting oil material production [J];guo;Grain and Oil,2022

5. Experimental Study of Aftertreatment System Configurations for Euro VI Heavy- Duty Diesel Engines[J];zhang;Chinese Internal Combustion Engine Engineering,2017

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Medium and Long Term Load Forecasting Method Based on BP Neural Network and S-Shaped Curve Fitting;2023 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia);2023-07-07

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