Quantifying a condition with a neural network
US9239983B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 29, 2012 |
| Grant date | Jan 19, 2016 |
| Priority date | — |
| Expiry date | Oct 25, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/0499
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Quantification of a condition of a selected item using a neural network is disclosed. A device defines a good hypertube in a neural state space based on good item state points obtained from one or more items that exhibit desired operating characteristics, and a bad hypertube in the neural state space based on bad item state points obtained from one or more items that exhibit undesirable operating characteristics. A current item state hyperpoint is determined in the neural state space based on a current item state point of the selected item. A condition of the selected item is quantified as a function of a location of the current item state hyperpoint with respect to at least a portion of the good hypertube and with respect to at least a portion of the bad hypertube.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.