Self-evolved adjustment framework for cloud-based large system based on machine learning
US10949542B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 25, 2018 |
| Grant date | Mar 16, 2021 |
| Priority date | — |
| Expiry date | Sep 5, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/022
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An approach is provided that trains neural network by receiving data inputs to a cloud-based system from users, gathering a sets of responsive system data from the cloud-based system, and training the neural network by passing the received data inputs and corresponding sets of responsive data through the neural network. After the training is performed, the approach receives user actions from a user of the cloud-based system, inputs the user actions to the trained neural network and receives one or more predicted next user actions from the trained neural network. Based on the predicted next user actions, the approach then performs a proactive response at the cloud-based system.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.