CONSTRUCTIVE ESTIMATION OF APPROXIMATION FOR TRIGONOMETRIC NEURAL NETWORKS

DOI10.1142/S021969131250021XzbMath1248.41038OpenAlexW2020598926MaRDI QIDQ2902631

Bin Zou, Wei-Hua Xu, Jian-Jun Wang

Publication date: 22 August 2012

Published in: International Journal of Wavelets, Multiresolution and Information Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s021969131250021x

zbMATH Keywords

neural networksorder of approximationmodulus of smoothness

Mathematics Subject Classification ID

Rate of convergence, degree of approximation (41A25) Approximation by positive operators (41A36)

Cites Work

• The essential order of approximation for neural networks
• Approximation by Ridge functions and neural networks with one hidden layer
• Approximation by superposition of sigmoidal and radial basis functions
• Approximation properties of a multilayered feedforward artificial neural network
• The essential order of approximation for nearly exponential type neural networks
• Efficient estimation of neural weights by polynomial approximation
• EPILEPTIC SPIKE DETECTION USING CONTINUOUS WAVELET TRANSFORMS AND ARTIFICIAL NEURAL NETWORKS

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