Variable weight neural networks and their applications on material surface and epilepsy seizure phase classifications

@article{Lam2015VariableWN,
  title={Variable weight neural networks and their applications on material surface and epilepsy seizure phase classifications},
  author={Hak Keung Lam and Udeme Ekong and Bo Xiao and Gaoxiang Ouyang and Hongbin Liu and Kit Yan Chan and Sai-Ho Ling},
  journal={Neurocomputing},
  year={2015},
  volume={149},
  pages={1177-1187}
}
This paper presents a novel neural network having variable weights, which is able to improve its learning and generalization capability, to deal with classification problems. The variable weight neural network (VWNN) allows its weights to be changed in operation according to the characteristic of the network inputs so that it demonstrates the ability to… CONTINUE READING