您当前的位置:
首页 >
文章列表页 >
Robust least squares support vector machine based on online adaptive and its application
更新时间:2025-09-28
    • Robust least squares support vector machine based on online adaptive and its application

    • Thermal Power Generation   Issue 6, (2017)
    • CLC: TP273
    • Published Online:30 June 2017,

      Published:2017

    移动端阅览

  • JIN Xiuzhang, LIU Xiao. Robust least squares support vector machine based on online adaptive and its application[J]. Thermal power generation, 2017, (6). DOI:

  •  
  •  

0

Views

272

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Research on prediction model of heat consumption rate of steam turbine based on FOA-LSSVM
An improved online NOx prediction model based on LSSVM
Modelling for unburned carbon content in fly ash from coal-fired boilers based on adaptive neuro-fuzzy inference system
Conditional integral sliding mode control for SCR denitrification system based on Smith predictor
Photovoltaic power prediction based on fuzzy support vector machine

Related Author

WANG Huijie
FAN Zhiyuan
XU Xiaogang
ZHANG Yang
JIN Xiuzhang
DING Xuda
池 涌
严建华

Related Institution

School of Energy Power and Mechanical Engineering, North China Electric Power University
Electric Power Research Institute of Guangdong Power Grid Corporation,Ltd.
State Key Laboratory of Clean Energy Utilization, Zhejiang University
Electric Power Research Institute of State Grid Henan Electric Power Company
Guangxi Key Laboratory of New Energy and Building Energy Saving,Guilin University of Technology
0