Artificial neurons including weights that define maximal...

Details Artificial neurons including weights that define maximal... Artificial neurons including weights that define maximal...

2006-03-21

2006-03-21

Knight, Anthony (Department: 2121)

Data processing: artificial intelligence

Neural network

Structure

Reexamination Certificate

active

07016886

ABSTRACT:
An artificial neuron includes inputs and dendrites, a respective one of which is associated with a respective one of the inputs. A respective dendrite includes a respective power series of weights. The weights in a given power of the power series represent a maximal projection. A respective power also may include at least one switch, to identify holes in the projections. By providing maximal projections, linear scaling may be provided for the maximal projections, and quasi-linear scaling may be provided for the artificial neuron, while allowing a lossless compression of the associations. Accordingly, hetero-associative and/or auto-associative recall may be accommodated for large numbers of inputs, without requiring geometric scaling as a function of input.

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That's Not How My Brain Works, Technology Review, vol. 102, No. 4, Jul./Aug. 1999, pp. 76-79.
Report: IBM's Memory Agent, Intelligence in Industry, vol. 8, No. 1, Jan. 1999, pp. 5-9.

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