Evolutionary \(q\)-Gaussian radial basis function neural networks for multiclassification

DOI10.1016/j.neunet.2011.03.014zbMath1263.68130OpenAlexW2069735905WikidataQ51582180 ScholiaQ51582180MaRDI QIDQ1952564

M. Carbonero-Ruz, Francisco Fernández-Navarro, César Hervás-Martínez, Pedro Antonio Gutiérrez

Publication date: 31 May 2013

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2011.03.014

zbMATH Keywords

evolutionary algorithmhybrid algorithmmulticlassification\(q\)-Gaussian radial basis function neural networks

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Insolvency modeling with generalized entropy cost function in neural networks

Uses Software

• UCI-ml
• LIBSVM

Cites Work

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• \(q\)-Gaussian trial function in high density Bose-Einstein condensates
• Generalized multiscale radial basis function networks
• Multilogistic regression by means of evolutionary product-unit neural networks
• Possible generalization of Boltzmann-Gibbs statistics.
• Information Theory and Statistical Mechanics
• The elements of statistical learning. Data mining, inference, and prediction

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