There exists a neural network that does not make avoidable mistakes

  title={There exists a neural network that does not make avoidable mistakes},
  author={A. Ronald Gallant and Halbert White},
  journal={IEEE 1988 International Conference on Neural Networks},
  pages={657-664 vol.1}
The authors show that a multiple-input, single-output, single-hidden-layer feedforward network with (known) hardwired connections from input to hidden layer, monotone squashing at the hidden layer and no squashing at the output embeds as a special case a so-called Fourier network, which yields a Fourier series approximation properties of Fourier series representations. In particular, approximation to any desired accuracy of any square integrable function can be achieved by such a network, using… CONTINUE READING
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