Multilayer feedforward networks are universal approximators
Neural Networks
Approximation by ridge functions and neural networks with one hidden layer
Journal of Approximation Theory
Advances in Applied Mathematics
Uniform approximation by neural networks
Journal of Approximation Theory
Constructive approximate interpolation by neural networks
Journal of Computational and Applied Mathematics
Pointwise approximation for neural networks
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
Universal approximation bounds for superpositions of a sigmoidal function
IEEE Transactions on Information Theory
Approximation bounds for smooth functions in C(Rd) by neural and mixture networks
IEEE Transactions on Neural Networks
Approximation capability in C(R¯n) by multilayer feedforward networks and related problems
IEEE Transactions on Neural Networks
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Two classes of feedforward neural networks (FNNs) with one hidden layer are constructed to approximate L^p integrable functions in this paper. We not only show that the constructed FNNs can approximate any f@?L^p[a,b](1@?p