Least third-order cumulant method with adaptive regularization parameter selection for neural networks

DOI10.1016/S0004-3702(01)00061-3zbMath0971.68130WikidataQ127526515 ScholiaQ127526515MaRDI QIDQ5941209

Tommy W. S. Chow, Chi-Tat Leung

Publication date: 20 August 2001

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

zbMATH Keywords

regularizationneural networksgeneralization capabilitythird-order cumulant

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

On Different Facets of Regularization Theory

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Estimation of dependences based on empirical data. Transl. from the Russian by Samuel Kotz
• Training multilayer neural networks using fast global learning algorithm -- least-squares and penalized optimization methods
• Adaptive regularization parameter selection method for enhancing generalization capability of neural networks

This page was built for publication: Least third-order cumulant method with adaptive regularization parameter selection for neural networks