首页|Investigators at Chinese Academy of Sciences Report Findings in Intelligent Syst ems (Reinforcement-learning-based Parameter Adaptation Method for Particle Swarm Optimization)
Investigators at Chinese Academy of Sciences Report Findings in Intelligent Syst ems (Reinforcement-learning-based Parameter Adaptation Method for Particle Swarm Optimization)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning - Intelligent Systems. According tonews reporting originating from Be ijing, People’s Republic of China, by NewsRx correspondents, researchstated, “P article swarm optimization (PSO) is a well-known optimization algorithm that sho ws goodperformances in solving different optimization problems. However, the PS O usually suffers from slowconvergence.”
BeijingPeople’s Republic of ChinaAsi aIntelligent SystemsEmerging TechnologiesMachine LearningParticle Swarm OptimizationReinforcement LearningChinese Academy of Sciences
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