KAN: Kolmogorov–Arnold Networks论文全译（看恐怖片对身体有好处吗）

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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

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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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