Prediction and Comparison of Ash Fusion Temperatures Based on BP Neural Network and Least Squares Support Vector Machine

SHI Hao; XIAO Haiping; LIU Yanpeng

doi:10.12096/j.2096-4528.pgt.20003

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Prediction and Comparison of Ash Fusion Temperatures Based on BP Neural Network and Least Squares Support Vector Machine

Power Generation Technology Vol. 43, Issue 1, Pages: 139-146(2022)

Power Generation and Environmental Protection|Updated：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.”
- Affiliations：
  1.School of Energy, Power and Mechanical Engineering, North China University of Electric Power, Changping District, Beijing 102206, China
  2.Thermal Power Technology Research Institute, China Datang Corporation Science and Technology General Research Institute Ltd., Shijingshan District, Beijing 100040, China
- Author bio：
- Funds：
  National Natural Science Foundation of China(51206047)
- DOI：10.12096/j.2096-4528.pgt.20003
  CLC：
- Accepted：
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Prediction and Comparison of Ash Fusion Temperatures Based on BP Neural Network and Least Squares Support Vector Machine

DOI：10.12096/j.2096-4528.pgt.20003

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