Data processing: artificial intelligence – Neural network
Reexamination Certificate
2011-03-08
2011-03-08
Holmes, Michael B. (Department: 2129)
Data processing: artificial intelligence
Neural network
C706S025000, C706S026000, C706S027000, C706S039000
Reexamination Certificate
active
07904398
ABSTRACT:
Neuron component and method for use in artificial neural networks (ANNs) with input synapses (204, 204b . . .204n), each synapse includes multiple weights called synapse weights (206-1, 206-2, 206-3). Each synapse further includes a facility to modulate, or gate, an input signal connected to the synapses, by each of the respective synapse weights within the synapse, supplying the result of each modulating operation. The neuron also sums the results of all modulating operations, and subjects the results to a transfer function. Each of the multiple weights associated with a given synapse, may be specified to have its own weight-adjustment facility (214, 214b, 214c), with its own error-values (216, 216b, 216c), and its own specified learning and aspect (1000) includes a separate sum (1018, 1018b) and transfer function (1020, 1020b) for each synapse weight.
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