Temperature prediction model for a high-speed motorized spindle based on back-propagation neural network optimized by adaptive particle swarm optimizationOA
To predict the temperature of a motorized spindle more accurately,a novel temperature prediction model based on the back-propagation neural network optimized by adaptive particle swarm optimization(APSO-BPNN)is proposed.First…查看全部>>
Lei Chunli;Zhao Mingqi;Liu Kai;Song Ruizhe;Zhang Huqiang
School of Mechanical and Electrical Engineering,Lanzhou University of Technology,Lanzhou 730050,ChinaSchool of Mechanical and Electrical Engineering,Lanzhou University of Technology,Lanzhou 730050,ChinaSchool of Mechanical and Electrical Engineering,Lanzhou University of Technology,Lanzhou 730050,ChinaSchool of Mechanical and Electrical Engineering,Lanzhou University of Technology,Lanzhou 730050,ChinaSchool of Mechanical and Electrical Engineering,Lanzhou University of Technology,Lanzhou 730050,China
机械工程
temperature predictionhigh-speed motorized spindleparticle swarm optimization algorithmback-propagation neural networkrobustness
《东南大学学报：英文版》 2022 (3)
P.235-241,7
The National Natural Science Foundation of China(No.51465035)the Natural Science Foundation of Gansu,China(No.20JR5R-A466)。
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