Systems and methods of processing diverse data sets with a neural network to generate synthesized data sets for predicting a target metric
US11361251B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Jan 16, 2020 |
| Grant date | Jun 14, 2022 |
| Priority date | — |
| Expiry date | Jul 17, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/04
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer system receives and stores data sets, a target metric, and a parameter that indicates a desired number of synthesized data sets. A hardware processor performs operations where each processing node of a neural network weights input data set values, determines gating operations to select processing operations, and generates a node output by applying the gating operations to weighted input data set values. The neural network is trained by modifying the gating operations, the input weight values, and the node output weight value until convergence. One or more nodes is selected having a larger magnitude node output weight value. Selected input data set values are processed with selected processing nodes using a selected subset of gating operations to produce the desired number of synthesized data sets. Names are generated for each of the synthesized data sets.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.