Context-dependent neural nets-structures and learning

  title={Context-dependent neural nets-structures and learning},
  author={Piotr Ciskowski and Ewaryst Rafajlowicz},
  journal={IEEE Transactions on Neural Networks},
A novel approach toward neural networks modeling is presented in the paper. It is unique in the fact that allows nets' weights to change according to changes of some environmental factors even after completing the learning process. The models of context-dependent (cd) neuron, one- and multilayer feedforward net are presented, with basic learning algorithms and examples of functioning. The Vapnik-Chervonenkis (VC) dimension of a cd neuron is derived, as well as VC dimension of multilayer… CONTINUE READING
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