A mixed-integer programming approach to GRNN parameter estimation

DOI10.1016/J.INS.2015.04.052zbMath1390.68537OpenAlexW295411813MaRDI QIDQ1749962

Gyu Eun Lee, A. Zaknich

Publication date: 17 May 2018

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2015.04.052

zbMATH Keywords

mixed integer programmingevolutionary computationleast squares support vector machinegeneral regression neural network

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Mixed integer programming (90C11) Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• AS 136
• RSVM

Cites Work

• Algorithm AS 136: A K-Means Clustering Algorithm
• Regularization Algorithms for Learning That Are Equivalent to Multilayer Networks
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