State analog neural network and method of implementing same
US4947482A · kind A · utility
Assignee
Inventor
Key dates
| Filing date | Jul 25, 1989 |
| Grant date | Aug 7, 1990 |
| Priority date | — |
| Expiry date | Jul 25, 2009 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A neural network is implemented by discrete-time, continuous voltage state analog device in which neuron, synapse and synaptic strength signals are generated in highly parallel analog circuits in successive states from stored values of the interdependent signals calculated in a previous state. The neuron and synapse signals are refined in a relaxation loop while the synaptic strength signals are held constant. In learning modes, the synaptic strength signals are modified in successive states from stable values of the analog neuron signals. The analog signals are stored for as long as required in master/slaver sample and hold circuits as digitized signals which are periodically refreshed to maintain the stored voltage within a voltage window bracketing the original analog signal.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.