Dynamic context-selective convolutional neural network for time series data classification
US10810485B2 · kind B2 · utility
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Key dates
| Filing date | Sep 13, 2016 |
| Grant date | Oct 20, 2020 |
| Priority date | — |
| Expiry date | Sep 7, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/0464
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A convolutional neural network for classifying time series data uses a dynamic context selection. In one example a method includes receiving a plurality of inputs of different sizes at a convolutional neural network, applying convolution and pooling to each of the inputs to provide a plurality of outputs of different sizes, changing the size of each of the outputs to a selected uniform size, reshaping each of the outputs to a vector, and fully connecting the vectors.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.