Forecasting routines utilizing a mixer to combine deep neural network (DNN) forecasts of multi-variate time-series datasets
US11704539B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 30, 2020 |
| Grant date | Jul 18, 2023 |
| Priority date | — |
| Expiry date | Mar 28, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/32
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Deep Neural Networks (DNNs) for forecasting future data are provided. In one embodiment, a non-transitory computer-readable medium is configured to store computer logic having instructions that, when executed, cause one or more processing devices to receive, at each of a plurality of Deep Neural Network (DNN) forecasters, an input corresponding to a time-series dataset of a plurality of input time-series datasets. The instructions further cause the one or more processing devices to produce, from each of the plurality of DNN forecasters, a forecast output and provide the forecast output from each of the plurality of DNN forecasters to a DNN mixer for combining the forecast outputs to produce one or more output time-series datasets.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.