Neuromorphic Regulation of Dynamic Systems Using Back Propagation Networks

@article{Sanner1988NeuromorphicRO,
  title={Neuromorphic Regulation of Dynamic Systems Using Back Propagation Networks},
  author={Robert M. Sanner and David L. Akin},
  journal={Neural Networks},
  year={1988},
  volume={1},
  pages={358-359}
}
A series of experiments has been completed in which the ability of modified back propagation neural networks to learn to regulate dynamic systems was systematically evaluated. This research has led to the development of a new type of learning controller, known as the neuromorphic controller (NMC). The NMC algorithm uses this modified back propagation methodology to teach neural networks to construct mappings from the current state of the plant to the control actions required in order to… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 42 references

A General Framework for Parallel Distributed Processing,

  • D. E. Rummelhart, G. E. Hinton, J. L. McClelland
  • Parallel Distributed Processing: Explorations in…
  • 1986
Highly Influential
9 Excerpts

The 13th Problem of Hilbert,

  • G. G. Lorentz
  • Proc. Symp. Pure Math., Feliz E. Browder, ed.,
  • 1976
Highly Influential
3 Excerpts

The Nerve Impulse," Carolina

  • R. H. Adrian
  • Biology Readers,
  • 1980
Highly Influential
3 Excerpts

The Synapse," Carolina

  • E. G. Gray
  • Biology Readers,
  • 1977
Highly Influential
2 Excerpts

The Organization of Behavior

  • D. O. Hebb
  • 1949
Highly Influential
3 Excerpts

Artificial Intelligence Applications in the Teleoperated Robotic Assembly of the EASE Space Structure,

  • Viggh, M HerbertE.
  • SM Thesis, MIT Dept. of Aero. and Astro.,
  • 1988

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