Systems and methods for adaptive training neural networks
US11182675B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | May 18, 2021 |
| Grant date | Nov 23, 2021 |
| Priority date | — |
| Expiry date | May 18, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q20/4016
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure relates to systems and methods for creating and training neural networks. The method includes collecting a set of signals from a database; applying a transform to each signal to create a modified set of signals, wherein signals of the modified set of signals are wavelets; iteratively, for each of a subset of the modified signals: training the neural network using a modified signal of the subset by adding at least one node to the neural network in response to an error function of an analysis of the modified signal exceeding a threshold; removing nodes from the neural network with activation rates below an activation rate threshold; and grouping each node into a lobe among a plurality of lobes, wherein nodes belonging to a lobe have a common characteristic.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.