Method and apparatus for training a neural network
US5664067A · kind A · utility
7Cited by
42References
22Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Jan 11, 1995 |
| Grant date | Sep 2, 1997 |
| Priority date | — |
| Expiry date | Jan 11, 2015 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/19173
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A plurality of training inputs are selected, wherein each training input corresponds to a first possible output. The quality of each of the plurality of training inputs is characterized. A first training input is selected from the training inputs, where the first training input is of higher quality than a second training input of the training inputs. The neural network is trained with the higher-quality first training input prior to training with the second training input. A neuron may be added to the neural network in accordance with the first training input, wherein the neuron is associated with the first possible output.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.