Uniform approximation rates and metric entropy of shallow neural networks

IF 1.2 3区 数学 Q1 MATHEMATICS Research in the Mathematical Sciences Pub Date : 2022-07-19 DOI:10.1007/s40687-022-00346-y
Limin Ma, Jonathan W. Siegel, Jinchao Xu
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浅层神经网络的均匀逼近率和度量熵
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来源期刊
Research in the Mathematical Sciences
Research in the Mathematical Sciences Mathematics-Computational Mathematics
CiteScore
2.00
自引率
8.30%
发文量
58
期刊介绍: Research in the Mathematical Sciences is an international, peer-reviewed hybrid journal covering the full scope of Theoretical Mathematics, Applied Mathematics, and Theoretical Computer Science. The Mission of the Journal is to publish high-quality original articles that make a significant contribution to the research areas of both theoretical and applied mathematics and theoretical computer science. This journal is an efficient enterprise where the editors play a central role in soliciting the best research papers, and where editorial decisions are reached in a timely fashion. Research in the Mathematical Sciences does not have a length restriction and encourages the submission of longer articles in which more complex and detailed analysis and proofing of theorems is required. It also publishes shorter research communications (Letters) covering nascent research in some of the hottest areas of mathematical research. This journal will publish the highest quality papers in all of the traditional areas of applied and theoretical areas of mathematics and computer science, and it will actively seek to publish seminal papers in the most emerging and interdisciplinary areas in all of the mathematical sciences. Research in the Mathematical Sciences wishes to lead the way by promoting the highest quality research of this type.
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