Data processing: artificial intelligence – Neural network
Reexamination Certificate
2006-08-15
2006-08-15
Starks, Wilbert L. (Department: 2129)
Data processing: artificial intelligence
Neural network
Reexamination Certificate
active
07092921
ABSTRACT:
The invention relates to a method for determining a weight coefficient of an artificial associative neuron synapse, where the synaptic weight coefficient is determined on the basis of the temporal average of a product of two signals. The method comprises the steps of taking temporal samples from the product of said two signals at such moments when one of the signals starts to deviate from zero, feeding said samples into such a shift register chain, from where a predetermined number of said samples taken at previous moments are continuously available, deducing on the basis of said samples taken at previous moments, whether a value deviating from zero is to be set as the synaptic weight coefficient. The invention also relates to an artificial associative neuron synapse.
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Nokia Corporation
Starks Wilbert L.
Tran Mai T.
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