Seminars

Time series analytics: Causation detections and dynamics predictions

Author:    Publicsh date:2019-12-23    Clicks:
报告题目:Time series analytics: Causation detections and dynamics predictions报告人:林  伟 (复旦大学数学科学学院、类脑只能科学与技术研究院)时间:12月21日下午2-3pm地点:创新研究院数学中心813报告摘要:In this plenary talk, I will introduce some of our recent works on time series analytics, including directional interactions detections and dynamics predictions. Based on the theory of nonlinear...



报告题目:Time series analytics: Causation detections and dynamics predictions
报告人:林  伟 (复旦大学数学科学学院、类脑只能科学与技术研究院)

时间:12月21日下午2-3pm

地点:创新研究院数学中心813


报告摘要:In this plenary talk, I will introduce some of our recent works on time series analytics, including directional interactions detections and dynamics predictions. Based on the theory of nonlinear dynamical systems as well as machine learning techniques, we develop several data-driven and model-free frameworks for realizing detections and predictions. Through comparing our frameworks with other existing methods in the literature, we show the advantages of our frameworks when they are used to deal with the data produced numerically by dynamical oscillators and collected by real experiments as well.