Uniform approximation by neural networks
Journal of Approximation Theory
Error bounds for approximation with neural networks
Journal of Approximation Theory
Capabilities of a four-layered feedforward neural network: four layers versus three
IEEE Transactions on Neural Networks
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It is shown that the general approximation property of feed-forward multilayer perceptron networks can be achieved in networks where the number of nodes in each layer is bounded, but the number of layers grows to infinity. This is the case provided the node function is twice continuously differentiable and not linear.