Neural network image processing system
US4941122A · kind A · utility
Assignee
Inventor
Key dates
| Filing date | Jan 12, 1989 |
| Grant date | Jul 10, 1990 |
| Priority date | — |
| Expiry date | Jan 12, 2009 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A neural-simulating system for an image processing system includes a plurality of networks arranged in a plurality of layers, the output signals of ones of the layers provide input signals to the others of the layers. Each of the plurality of layers include a plurality of neurons operating in parallel on the input signals to the layers. The plurality of neurons within a layer are arranged in groups. Each of the neurons within a group operates in parallel on the input signals. Each neuron within a group of neurons operates to extract a specific feature of an area of the image being processed. Each of the neurons derives output signals from the input signals representing the relative weight of the input signal applied thereto based upon a continuously differential transfer function for each function.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.