Adaptive neural network image processing system
US5107442A · kind A · utility
Assignee
Inventor
Key dates
| Filing date | Mar 6, 1991 |
| Grant date | Apr 21, 1992 |
| Priority date | — |
| Expiry date | Mar 6, 2011 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A neural-simulating system for processing input stimuli includes a plurality of layers, each layer receives layer input signals and generates layer output signals, the layer input signals include signals from the input stimuli and ones of the layer output signals from only previous layers within the plurality of layers. Each of the plurality of layers includes a plurality of neurons operating in parallel on the layer input signals applied to the plurality of layers. Each of the neurons derives neuron output signals from a continuously differentiable transfer function for each of the neurons based upon a combination of sets of weights associated with the neurons and the layer input signals. An adaptive network is associated with each neuron for generating weight correction signals based upon gradient estimate signals and convergence factors signals of each neuron and for processing the weight correction signals to thereby modify the weights associated with each neuron. An error measuring circuit generates relative powered error signals for use in generating the gradient estimate signals and the convergence factors signals.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.