Theory of the backpropagation neural network

@article{HechtNielsen1988TheoryOT,
  title={Theory of the backpropagation neural network},
  author={Robert Hecht-Nielsen},
  journal={International 1989 Joint Conference on Neural Networks},
  year={1988},
  pages={593-605 vol.1}
}
The author presents a survey of the basic theory of the backpropagation neural network architecture covering architectural design, performance measurement, function approximation capability, and learning. The survey includes previously known material, as well as some new results, namely, a formulation of the backpropagation neural network architecture to make it a valid neural network (past formulations violated the locality of processing restriction) and a proof that the backpropagation mean… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 25 references

Can Backpropagation Error Surfaces Have Minima?", Department of Electrical and Computer Engineering, University of California a t San Diego

  • McInerney, M John, +5 authors Robert
  • 1988

E.,"Parallel Distributed Processing

  • Rumelhart, David
  • Plenary Lecture presented a t Proc
  • 1988

Eds.], Neurocomputing: Foundations of Research

  • Anderson, A James, ftosenfeld, Edward
  • 1988

J.,"Backpropagation: Past and Future

  • Werbos, Paul
  • IEEE Internatzonal Conference on Neural Neiworks,
  • 1988

Learning Internal Representations by Error P April 1985

  • David E. Rumelhart, Geoffrey E. Hinton, Ronald J. William, E. David, James L. McCleUand, Ronald J. Williams
  • 1988

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