Learning of higher-order perceptrons with tunable complexities

DOI10.1088/0305-4470/31/38/012zbMath0960.82525OpenAlexW2044078616MaRDI QIDQ4259784

Hyoungsoo Yoon, Jong-Hoon Oh

Publication date: 17 May 2001

Published in: Journal of Physics A: Mathematical and General (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/4dda9c9bffb5253732b7271c2228dbe2447d6d27

zbMATH Keywords

curse of dimensionalitylearning from exampleshigher-order neuronshigher-order perceptronsinvariance constraintspolynomially separable rules

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Neural nets applied to problems in time-dependent statistical mechanics (82C32)

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On the Complexity of Computing and Learning with Multiplicative Neural Networks

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