System and method for augmenting an existing artificial neural network
US11238331B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 26, 2017 |
| Grant date | Feb 1, 2022 |
| Priority date | — |
| Expiry date | Oct 13, 2040 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02D10/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A novel and useful augmented artificial neural network (ANN) incorporating an existing artificial neural network (ANN) coupled to a supplemental ANN and a first-in first-out (FIFO) stack for storing historical output values of the network. The augmented ANN exploits the redundant nature of information present in an input data stream. The addition of the supplemental ANN along with a FIFO enables the augmented network to look back into the past in making a decision for the current frame. It provides context aware object presence as well as lowers the rate of false detections and misdetections. The output of the existing ANN is stored in a FIFO to create a lookahead system in which both past output values of the supplemental ANN and ‘future’ values of the output of the existing ANN are used in making a decision for the current frame. In addition, the mechanism does not require retraining the entire neural network nor does it require data set labeling.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.