首页|Studies from Nanchang University Describe New Findings in Machine Learning (Solving Inverse Problems With Sparse Noisy Data, Operator Splitting and Physics-constrained Machine Learning)
Studies from Nanchang University Describe New Findings in Machine Learning (Solving Inverse Problems With Sparse Noisy Data, Operator Splitting and Physics-constrained Machine Learning)
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By a News Reporter-Staff News Editor at Network Daily News - Fresh dataon Machine Learning are presented in a new report. According to news reporting originating in Jiangxi,People’s Republic of China, by NewsRx journalists, research stated, “Inverse problems are fundamentalin tasks like computer vision, where model parameters need to be estimated from observable data. Wepropose a novel approach that combines physics-constrained deep learning with automatic differentiation(AD) to tackle inverse problems in such as computer vision.”Funders for this research include Basic and Applied Basic Research Foundation of Guangdong Province,Guangdong Basic and Applied Basic Research Foundation.
JiangxiPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningNetworksNeural NetworksNanchang University
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