首页|New Machine Learning Study Findings Reported from University of Michigan (Label-free Learning of Elliptic Partial Differential Equation Solvers With Generalizability Across Boundary Value Problems)

New Machine Learning Study Findings Reported from University of Michigan (Label-free Learning of Elliptic Partial Differential Equation Solvers With Generalizability Across Boundary Value Problems)

扫码查看
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Machine Learning. According to news originatingfrom Ann Arbor, Michigan, by NewsRx correspondents, research stated, “Traditional numericaldiscretization-based solvers of partial differential equations (PDEs) are fundamentally agnostic to domains,boundary conditions and coefficients. In contrast, machine learnt solvers have a limited generalizabilityacross these elements of boundary value problems.”

Ann ArborMichiganUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningUniversity of Michigan

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jan.1)