KAN: Kolmogorov–Arnold Networks论文全译

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原标题：KAN: Kolmogorov–Arnold Networks论文全译
关键字：函数,报告,变量,符号,表示
文章来源：人工智能学家
内容字数：50170字

内容摘要：

来源：CreateAMind
KAN: Kolmogorov–Arnold Networkshttps://arxiv.org/pdf/2404.197566 讨论
Application aspects:We have presented some preliminary evidences that KANs are more effective than MLPs inscience-related tasks,e.g., fitting physical equations and PDE solving.
Weexpect that KANs may also be promising for solvingNavier-Stokes equations, density functional theory, or any other tasks that can be formulated as regression or PDE solving.
We would also like to apply KANs to machine-learning-related ta

原文链接：KAN: Kolmogorov–Arnold Networks论文全译

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文章来源：人工智能学家
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作者简介：致力成为权威的人工智能科技媒体和前沿科技研究机构