A systematic investigation of a neural network for function approximation

DOI10.1016/j.neunet.2008.06.015zbMath1254.65025OpenAlexW2085705748WikidataQ46974343 ScholiaQ46974343MaRDI QIDQ1932102

Leila Ait Gougam, Fawzia Mekideche-Chafa, Mouloud Tribeche

Publication date: 17 January 2013

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

Full work available at URL: https://doi.org/10.1016/j.neunet.2008.06.015

zbMATH Keywords

neural networkwaveletresponse functionfunction approximationactivation functionKolmogorov theoremformal neurongradient decentscale parameters merging

Mathematics Subject Classification ID

Nontrigonometric harmonic analysis involving wavelets and other special systems (42C40) Algorithms for approximation of functions (65D15)

Cites Work

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• Multilayer feedforward networks are universal approximators
• Exponential stability of continuous-time and discrete-time bidirectional associative memory networks with delays
• Initialization by selection for wavelet network training
• Global robust stability analysis of neural networks with discrete time delays
• A theory for multiresolution signal decomposition: the wavelet representation
• Ten Lectures on Wavelets
• Approximation by superpositions of a sigmoidal function

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