首页|New Computational Intelligence Findings from Hunan Normal University Discussed ( Two Znn-based Unified Smc Schemes for Finite/fixed/preassigned-time Synchronizat ion of Chaotic Systems)
New Computational Intelligence Findings from Hunan Normal University Discussed ( Two Znn-based Unified Smc Schemes for Finite/fixed/preassigned-time Synchronizat ion of Chaotic Systems)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Machine Learning - Comp utational Intelligence is now available.According to news reporting originating from Changsha, People's Republic of China, by NewsRx correspondents, research s tated, "Sliding mode control (SMC) is widely recognized as an effective control scheme for the synchronization of chaotic systems (CSs). However, numerous exist ing SMC schemes for chaos synchronization assume a noise-free environment and de pend on multiple parameters." Funders for this research include Natural Science Foundation of Hunan Province, National Natural Science Foundation of China (NSFC), Postgraduate Scientific Res earch Innovation Project of Hunan Province, Scientific Research Project of Hunan Provincial Department of Education.
ChangshaPeople's Republic of ChinaAs iaComputational IntelligenceMachine LearningHunan Normal University
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