Genetic algorithms for the structural optimisation of learned polynomial expressions

DOI10.1016/j.amc.2006.07.164zbMath1117.65028OpenAlexW2065225164MaRDI QIDQ884607

G. Potgieter, Andries P. Engelbrecht

Publication date: 6 June 2007

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2006.07.164

zbMATH Keywords

neural networksnumerical examplespolynomial approximationgenetic algorithmsdata clusteringstructure optimisation

Mathematics Subject Classification ID

Algorithms for approximation of functions (65D15)

Uses Software

• DistAl

Cites Work

• Towards designing artificial neural networks by evolution
• Multilayer feedforward networks are universal approximators
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