An evolutionary approach for achieving scalability with general regression neural networks

DOI10.1007/s11047-007-9052-xzbMath1191.68491OpenAlexW2026229593MaRDI QIDQ835981

Lacey Montgomery, Larry Pier Luca Kenan Casey, Joseph Gay, Aaron Garrett, Gerry V. Dozier

Publication date: 31 August 2009

Published in: Natural Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11047-007-9052-x

zbMATH Keywords

evolutionary computationsupport vector machineestimation of distribution algorithmgeneral regression neural network

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Distributed algorithms (68W15)

Related Items (1)

Conservative and aggressive rough SVR modeling

Uses Software

• SVMlight

Cites Work

• Estimation of dependences based on empirical data. Transl. from the Russian by Samuel Kotz
• CONTINUED FRACTIONS: YET ANOTHER TOOL TO OVERCOME THE CURSE OF DIMENSIONALITY
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