Approximation by a class of neural network operators on scattered data
Author:
Affiliation:
1. Department of Mathematics Hangzhou Normal University Hangzhou China
2. Department of Applied Mathematics China Jiliang University Hangzhou China
Funder
National Natural Science Foundation of China
National Key Research and Development Program of China
Publisher
Wiley
Subject
General Engineering,General Mathematics
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/mma.8267
Reference19 articles.
1. Approximation by superpositions of a sigmoidal function
2. On the approximate realization of continuous mappings by neural networks
3. Universal Approximation Using Radial-Basis-Function Networks
4. Approximation and Radial-Basis-Function Networks
5. Approximation capability to functions of several variables, nonlinear functionals, and operators by radial basis function neural networks
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