Data category identification method and apparatus based on deep neural network
US10296827B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 18, 2015 |
| Grant date | May 21, 2019 |
| Priority date | — |
| Expiry date | Aug 2, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A deep neural network to which data category information is added is established locally, to-be-identified data is input to an input layer of the deep neural network generated based on the foregoing data category information, and information of a category to which the to-be-identified data belongs is acquired, where the information of the category is output by an output layer of the deep neural network. A deep neural network is established based on data category information, such that category information of to-be-identified data is conveniently and rapidly obtained using the deep neural network, thereby implementing a category identification function of the deep neural network, and facilitating discovery of an underlying law of the to-be-identified data according to the category information of the to-be-identified data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.