The approximation operators with sigmoidal functions
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Publication:980024
DOI10.1016/j.camwa.2009.05.001zbMath1189.41014OpenAlexW2038266964MaRDI QIDQ980024
Publication date: 28 June 2010
Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.camwa.2009.05.001
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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
- Uniform approximation by neural networks
- Rate of convergence of some neural network operators to the unit-univariate case
- Multilayer feedforward networks are universal approximators
- An approximation by neural networks with a fixed weight
- Degree of approximation by neural and translation networks with a single hidden layer
- Universal approximation bounds for superpositions of a sigmoidal function
- Approximation by superpositions of a sigmoidal function
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