Prediction and Comparison of Ash Fusion Temperatures Based on BP Neural Network and Least Squares Support Vector Machine
Power Generation and Environmental Protection|更新时间:2025-06-06
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Prediction and Comparison of Ash Fusion Temperatures Based on BP Neural Network and Least Squares Support Vector Machine
“In the field of predicting slagging in coal-fired boilers, experts have established BP neural network and least squares support vector machine models to provide a solution for predicting the melting point of fly ash.”
Power Generation TechnologyVol. 43, Issue 1, Pages: 139-146(2022)
作者机构:
1.华北电力大学能源动力与机械工程学院,北京市 昌平区 102206
2.中国大唐集团科学技术研究院有限公司火力发电技术研究院,北京市 石景山区 100040
作者简介:
基金信息:
National Natural Science Foundation of China(51206047)
SHI Hao,XIAO Haiping,LIU Yanpeng.Prediction and Comparison of Ash Fusion Temperatures Based on BP Neural Network and Least Squares Support Vector Machine[J].Power Generation Technology,2022,43(01):139-146.
SHI Hao,XIAO Haiping,LIU Yanpeng.Prediction and Comparison of Ash Fusion Temperatures Based on BP Neural Network and Least Squares Support Vector Machine[J].Power Generation Technology,2022,43(01):139-146. DOI: 10.12096/j.2096-4528.pgt.20003.
Prediction and Comparison of Ash Fusion Temperatures Based on BP Neural Network and Least Squares Support Vector Machine