数学学科Seminar第2591讲 数据科学与随机动力系统的交叉研究前沿问题

创建时间:  2023/11/27  龚惠英   浏览次数:   返回

报告题目 (Title):Frontiers in Data Science and Stochastic Dynamics (数据科学与随机动力系统的交叉研究前沿问题)

报告人 (Speaker):段金桥 教授(大湾区大学)

报告时间 (Time):2023年12月7日(周四) 19:00

报告地点 (Place):腾讯会议(138-665-033)

邀请人(Inviter):李常品、蔡敏

主办部门:永利数学系

报告摘要:Data Science and Stochastic Dynamics have been hand in hand from the time of Kalman filtering or data assimilation. The speaker will present an overview about recent advances in this disciplinary topic about Data Science and Stochastic Dynamics, including historical background, scientific motivation, current challenges, especially, (1) How to integrate principle-based modeling and data-driven modeling? (2) How to investigate stochastic dynamics from data with help of machine learning? (3) How to analyze machine learning algorithms using tools from stochastic dynamical systems theory?

上一条:数学学科Seminar第2592讲 近似影响域对非局部模型局部收敛性的影响

下一条:数学学科Seminar第2590讲 庞特里亚金极大值原理,最优控制问题求解器RIOTS_95, 机器学习和分数阶微积分


数学学科Seminar第2591讲 数据科学与随机动力系统的交叉研究前沿问题

创建时间:  2023/11/27  龚惠英   浏览次数:   返回

报告题目 (Title):Frontiers in Data Science and Stochastic Dynamics (数据科学与随机动力系统的交叉研究前沿问题)

报告人 (Speaker):段金桥 教授(大湾区大学)

报告时间 (Time):2023年12月7日(周四) 19:00

报告地点 (Place):腾讯会议(138-665-033)

邀请人(Inviter):李常品、蔡敏

主办部门:永利数学系

报告摘要:Data Science and Stochastic Dynamics have been hand in hand from the time of Kalman filtering or data assimilation. The speaker will present an overview about recent advances in this disciplinary topic about Data Science and Stochastic Dynamics, including historical background, scientific motivation, current challenges, especially, (1) How to integrate principle-based modeling and data-driven modeling? (2) How to investigate stochastic dynamics from data with help of machine learning? (3) How to analyze machine learning algorithms using tools from stochastic dynamical systems theory?

上一条:数学学科Seminar第2592讲 近似影响域对非局部模型局部收敛性的影响

下一条:数学学科Seminar第2590讲 庞特里亚金极大值原理,最优控制问题求解器RIOTS_95, 机器学习和分数阶微积分

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