Multilayered neural architectures evolution for computing sequences of orthogonal polynomials

DOI10.1007/s10472-018-9601-2zbMath1442.68055OpenAlexW2890886116WikidataQ129210318 ScholiaQ129210318MaRDI QIDQ1757452

Guillermo Delgado Martínez, Dolores Barrios Rolanía, Daniel Manrique

Publication date: 4 January 2019

Published in: Annals of Mathematics and Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10472-018-9601-2

zbMATH Keywords

orthogonal polynomialsartificial neural networksevolutionary computationgrammar-guided genetic programming

Mathematics Subject Classification ID

Evolutionary algorithms, genetic algorithms (computational aspects) (68W50) Learning and adaptive systems in artificial intelligence (68T05) Grammars and rewriting systems (68Q42) Other special orthogonal polynomials and functions (33C47) Biologically inspired models of computation (DNA computing, membrane computing, etc.) (68Q07)

Uses Software

• Matlab
• NeVer
• OPQ

Cites Work

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• Erdélyi-Kober fractional integral operators from a statistical perspective. I.
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• Partition based real-valued encoding scheme for evolutionary algorithms
• Introduction to Evolutionary Algorithms
• Computational Aspects of Three-Term Recurrence Relations
• Calculation of Gauss Quadrature Rules

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