Optical neural networks for classification into arbitrary classes

@article{Arsenault1996OpticalNN,
  title={Optical neural networks for classification into arbitrary classes},
  author={H. H. Arsenault},
  journal={Conference Proceedings LEOS'96 9th Annual Meeting IEEE Lasers and Electro-Optics Society},
  year={1996},
  volume={1},
  pages={291 vol.1-}
}
  • H.H. Arsenault
  • Published 1996 in
    Conference Proceedings LEOS'96 9th Annual Meeting…
Summary form only given. Some important concepts of optical neural networks are similarity, generalization, invariance and training. Some neural networks are supposed to be able to classify objects according to hidden similarities. All of those concepts are put into question by the consideration first put forward by Watenabe that from a purely logical point of view, similarity is a purely arbitrary concept. It can be shown that this implies that the notion of invariance is also arbitrary, that… CONTINUE READING