Systems and methods for enhancing inferential accuracy of an artificial neural network during training on a mixed-signal integrated circuit
US11720784B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 25, 2022 |
| Grant date | Aug 8, 2023 |
| Priority date | — |
| Expiry date | Mar 25, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method for enhancing inferential accuracy of an artificial neural network during training includes during a simulated training of an artificial neural network identifying channel feedback values of a plurality of distinct channels of a layer of the artificial neural network based on an input of a training batch; if the channel feedback values do not satisfy a channel signal range threshold, computing a channel equalization factor based on the channel feedback values; identifying a layer feedback value based on the input of the training batch; and if the layer feedback value does not satisfy a layer signal range threshold, identifying a composite scaling factor based on the layer feedback values; during a non-simulated training of the artificial neural network, providing training inputs of: the training batch; the composite scaling factor; the channel equalization factor; and training the artificial neural network based on the training inputs.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.