Context-dependent neural nets-structures and learning

@article{Ciskowski2004ContextdependentNN,
  title={Context-dependent neural nets-structures and learning},
  author={Piotr Ciskowski and Ewaryst Rafajlowicz},
  journal={IEEE Transactions on Neural Networks},
  year={2004},
  volume={15},
  pages={1367-1377}
}
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
4 Citations
23 References
Similar Papers

References

Publications referenced by this paper.
Showing 1-10 of 23 references

Neural and Adaptive Systems: Fundamentals Through Tutorials

  • Euliano, Lefebvre, Principe
  • New York: Wiley,
  • 2000

Context-dependent neural nets—Problem statement and examples

  • E. Rafajłowicz
  • Proc. 3rd Conf. Neural Networks Applications…
  • 1999
1 Excerpt

Learning context dependent neural nets

  • Proc. 3rd Conf. Neural Networks Applications…
  • 1999
1 Excerpt

Phenomenological model for magnetorheological dampers

  • J. B. Spencer, S. Dyke, M. Sain, J. Carlson
  • Neural Network Learning : Theoretical Foundations
  • 1999

Similar Papers

Loading similar papers…