Digitally weighted neuron for artificial neural network
US5350953A · kind A · utility
12Cited by
11References
12Claims
0Family size
Inventors
Key dates
| Filing date | May 28, 1993 |
| Grant date | Sep 27, 1994 |
| Priority date | — |
| Expiry date | May 28, 2013 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/063
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A neuron for an artificial neural network provides digital weighting of input signals at a common portion of the neuron rather than at each synapse. The neuron is adapted for use of differential signals, and the weighting may be provided by field effect transistors of different widths, by subtracting a plurality of differential signal components from an opposite most significant component, or by subtracting one half of a differential signal component from the opposite next most significant component. The neuron may provide binary sign selection and digit selection by switching input and reference signals at each synapse.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.