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Extension of the Hamming neural network to a multilayer architecture for optical implementation

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2 Author(s)
Selviah, D.R. ; Univ. Coll. London, UK ; Midwinter, J.E.

Examines how the Hamming net can be extended to a three layer architecture by means of the matched filter formalism. When the convergence parameters are set below a defined upper limit the net always converges to the correct pattern and so offers a definite advantage over the Hopfield net. Moreover, the Hamming convergence parameters can be made to affect the threshold offset rather than its slope and this is easier to implement optically

Published in:

Artificial Neural Networks, 1989., First IEE International Conference on (Conf. Publ. No. 313)

Date of Conference:

16-18 Oct 1989