A constructive algorithm of neural approximation models for optimization problems

DOI10.1108/03321640910969520zbMath1177.78063OpenAlexW2053293302MaRDI QIDQ3645129

Augusto Montisci, Sara Carcangiu, Alessandra Fanni

Publication date: 16 November 2009

Published in: COMPEL - The international journal for computation and mathematics in electrical and electronic engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1108/03321640910969520

zbMATH Keywords

optimum designfunctional analysisneural netselectromagnetic devices

Mathematics Subject Classification ID

Programming involving graphs or networks (90C35) Optimization problems in optics and electromagnetic theory (78M50) Neural and heuristic methods applied to problems in optics and electromagnetic theory (78M32)

Related Items (3)

Performance of a coordinate search ANN training algorithm ⋮ Multi‐directional search to optimize neural network error function ⋮ Performance of derivative free search ANN training algorithm with time series and classification problems

Cites Work

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• An efficient hybrid algorithm for the optimization of problems with several local minima
• Searching with iterated maps
• Approximation by superpositions of a sigmoidal function

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