Learning artificial neural network using ternary content addressable memory (TCAM)
US9224091B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Mar 10, 2014 |
| Grant date | Dec 29, 2015 |
| Priority date | — |
| Expiry date | Jul 25, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/02
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A circuit is provided for that includes one or more TCAM arrays including one or more matchlines configured to model a neural network. Each of the one or more TCAM arrays models a connected group of neurons such that input search data into the one or more matchlines is modeled as neuron dendrite information, and the output from the one or more matchlines is modeled as neuron axon information. The circuit further includes one or more additional bits included within each of the one or more matchlines that are configured to model connectivity strength between each neuron dendrite and axon. The circuit also includes a real-time learning block included within each of the one or more TCAM arrays configured to modify the connectivity strength between each neuron dendrite and axon using wild-cards written and stored in the one or more additional bits.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.