FIELD: neuron networks for transforming residual code to binary positional code, base circuit for restoring a positional number based on its residuals.
SUBSTANCE: neuron network for transformation of residual code to binary positional code contains input layer of neurons, n-neuron networks of finite ring for transformation of residual code to code of generalized positional notation system, n constant memory devices for storing binary equivalents of coefficients of generalized positional notation system and a parallel adder.
EFFECT: increased efficiency.
1 dwg
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NEURAL NETWORK WITH THRESHOLD (k, t) STRUCTURE FOR RESIDUAL CODE - BINARY POSITION CODE CONVERSION | 2008 |
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Authors
Dates
2008-02-27—Published
2006-07-05—Filed