Automatic sizing of neural networks for function approximation
Enrico Rigoni, Alberto Lovison · 2007
Neural networks (NN) are a very efficient and powerful function approximation tool. Inspired by the brain structure and functions, NN are usually trained with backpropagation learning algorithm. A detailed benchmark on standard functions is provided, supporting in particular the automatic choice of the number of neurons in the hidden layer.