首页|Findings in Robotics Reported from Sun Yat-sen University (Adaptive Error-relate d Zeroing Neurodynamics Models for Handling Temporally-varying System of Linear Equation and Inequation With Applications)
Findings in Robotics Reported from Sun Yat-sen University (Adaptive Error-relate d Zeroing Neurodynamics Models for Handling Temporally-varying System of Linear Equation and Inequation With Applications)
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 DailyNews Daily News - Researchers detail new data in Robotic s. According to news reporting from Guangzhou,People’s Republic of China, by Ne wsRx journalists, research stated, “While zeroing neurodynamics (ZN)method stan ds out in handling various temporally-varying problems, the deficiencies of self -adaptivityand intelligence make ZN models be less mature. Aiming at this point , in this paper we propose threeadaptive ZN models, i.e., adaptive error-relate d ZN (AERZN) model, AERZN with power-sum (AERZNPS)model, and AERZN with modifi ed sign-bi-power (AERZN-MSBP) model, to solve the more challengingtemporally-va rying system of linear equation and inequation (TVSLEI).”
GuangzhouPeople’s Republic of ChinaA siaEmerging TechnologiesMachine LearningRobotRoboticsSun Yat-sen Unive rsity
NETL
NSTL
