首页|Studies from Xi’an Jiaotong University Yield New Information about Machine Learn ing (Machine Learning Surrogate Model Optimized By Improved Sparrow Search Algor ithm for Multi-objective Optimization of Permanent Magnet Synchronous Motor ...)
Studies from Xi’an Jiaotong University Yield New Information about Machine Learn ing (Machine Learning Surrogate Model Optimized By Improved Sparrow Search Algor ithm for Multi-objective Optimization of Permanent Magnet Synchronous Motor ...)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Fresh data on Machine Learning are presented in a new report. According to news reporting originating in Xi’an, People’s Republic of China, by NewsRx journalists, research stated, “This study introduces an Imp roved Sparrow Search Algorithm (ISSA) to address the challenges of machine learn ing Hyperparameter Optimization (HPO) and efficient modeling of Electric Coolant Pumps (ECP) in electric vehicles. By integrating L & eacute;vy fl ight and Bernoulli mapping, ISSA enhances global search capabilities and ability to escapes from local optima.” Funders for this research include National Natural Science Foundation of China ( NSFC), Innovation Capability Support Plan of Shaanxi, Fundamental Research Funds for the Central Universities, China Scholarship Council.
Xi’anPeople’s Republic of ChinaAsiaAlgorithmsCyborgsEmerging TechnologiesMachine LearningSearch AlgorithmsXi’an Jiaotong University
NETL
NSTL
