Adaptive regularization parameter selection method for enhancing generalization capability of neural networks

DOI10.1016/S0004-3702(98)00115-5zbMath1047.68102OpenAlexW1998428089WikidataQ127342944 ScholiaQ127342944MaRDI QIDQ1606350

Tommy W. S. Chow, Chi-Tat Leung

Publication date: 30 July 2002

Published in: Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0004-3702(98)00115-5

zbMATH Keywords

adaptive regularization parameter selection

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items

On Different Facets of Regularization Theory ⋮ Matrix-pattern-oriented Ho--Kashyap classifier with regularization learning ⋮ Least third-order cumulant method with adaptive regularization parameter selection for neural networks ⋮ A computational study on the performance of artificial neural networks under changing structural design and data distribution

Cites Work

• Flat Minima
• A Penalty-Function Approach for Pruning Feedforward Neural Networks
• Approximation by superpositions of a sigmoidal function

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