Robotics & Machine Learning Daily News2024,Issue(Jul.3) :20-20.

Researchers from Nanjing University Report Recent Findings in Machine Learning ( Simulating a Strongly Nonlinear Backward Stochastic Partial Differential Equatio n Via Efficient Approximation and Machine Learning)

南京大学的研究人员报告了机器学习的最新发现(通过有效逼近和机器学习模拟强非线性倒向随机偏微分方程)

Robotics & Machine Learning Daily News2024,Issue(Jul.3) :20-20.

Researchers from Nanjing University Report Recent Findings in Machine Learning ( Simulating a Strongly Nonlinear Backward Stochastic Partial Differential Equatio n Via Efficient Approximation and Machine Learning)

南京大学的研究人员报告了机器学习的最新发现(通过有效逼近和机器学习模拟强非线性倒向随机偏微分方程)

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摘要

由一名新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-一项关于机器学习的新研究现在已经可用。根据NewsRx编辑在南京的新闻报道,该研究指出:“我们用近似方法和基于机器学习(ML)的Monte Carlo模拟研究了强非线性倒向随机偏微分方程(B-SPDE)。这个方程是众所周知的,以前是从金融研究中得出的。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting out of Nanjing, People’s Republic of Chi na, by NewsRx editors, the research stated, “We have studied a strongly nonlinea r backward stochastic partial differential equation (B-SPDE) through an approxim ation method and with machine learning (ML)-based Monte Carlo simulation. This e quation is well-known and was previously derived from studies in finance.”

Key words

Nanjing/People's Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Nanjing University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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