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Correcting Errors in Optical Data Transmission Using Neural Networks
(2010)
Optical data communication systems are prone to a variety of processes that modify the transmitted signal, and contribute errors in the determination of 1s from 0s. This is a difficult, and commercially important, problem ...
Using Simple Neural Networks to Correct Errors in Optical Data Transmission.
(De Montfort University, 2008)
We have demonstrated the applicability of
neural-network-based systems to the problem
of reducing the effects of signal distortion,
and shown that such a system has the potential
to reduce the bit-error-rate in the ...
High Performance Associative Memories and Structured Weight Dilution
(Springer Nature, 2004)
The consequences of two techniques for symmetrically diluting the weights of the standard Hopfield architecture associative memory model, trained using a non-Hebbian learning rule, are examined. This paper reports experimental ...
Associative memory models with structured connectivity.
(ACTA Press, 2003)
High capacity associative memory models with dilute structured connectivity are trained using naturalistic bitmap patterns. The connectivity of the model is chosen to reflect the local spatial continuity of the data. The ...