首页|Researchers from Sun Yat-sen University Discuss Findings in Robotics (A Mode-swi tcher-based Neural Solution To Linearly Constrained Systems Applied To Robot Obs tacle Avoidance)
Researchers from Sun Yat-sen University Discuss Findings in Robotics (A Mode-swi tcher-based Neural Solution To Linearly Constrained Systems Applied To Robot Obs tacle Avoidance)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Robotics have been published. According to news originating from Guangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “Time-variant linear equal ity and inequality (TVLEI) play crucial roles in various practical scenarios. Ex isting zeroing neural networks (ZNNs) have been designed to handle either time-v ariant linear equality or time-variant linear inequality separately.”
GuangzhouPeople’s Republic of ChinaA siaEmerging TechnologiesMachine LearningRobotRoboticsSun Yat-sen Unive rsity
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