Feed-forward neural networks

@article{Bebis1994FeedforwardNN,
  title={Feed-forward neural networks},
  author={George Bebis and Michael Georgiopoulos},
  journal={IEEE Potentials},
  year={1994},
  volume={13},
  pages={27-31}
}
One critical aspect neural network designers face today is choosing an appropriate network size for a given application. Network size involves in the case of layered neural network architectures, the number of layers in a network, the number of nodes per layer, and the number of connections. Roughly speaking, a neural network implements a nonlinear mapping of u=G(x). The mapping function G is established during a training phase where the network learns to correctly associate input patterns x to… CONTINUE READING
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