Recognizing the Main Steam Temperature System using Genetic Programming with Automatically Defined Functions
The Main Steam Temperature System is one of the most important systems in the large-scale power plant, and it is difficult to recognize it accurately. A new method is put forward to recognize it, using Genetic Programming with Automatically Defined Functions. The combined programming with C++ and Matlab is employed to make the recognizing of the MSTS quickly and precisely. The simulation results attest that recognizing the MSTS using GP-ADF is feasible.
Framework Recognize Genetic Programming with Automatically Defined Functions Main Steam Temperature System Combined Programming with C++ and Matlab
Yiheng Jiang Yan Bai Yaochun Zhu
Department of Automation North China Electric Power University Beijing, China
国际会议
2007 IEEE International Conference on Automation and Lofistics
山东济南
英文
2007-08-18(万方平台首次上网日期,不代表论文的发表时间)