Patent · US Active

Hardware enhancements to radial basis function with restricted coulomb energy learning and/or K-nearest neighbor based neural network classifiers

US9269041B2 · kind B2 · utility

3Cited by

0References

41Claims

0Family size

Assignee

IN2H2 · US

Inventors

Bruce McCormick · Loomis, US
Bill H. Nagel · Folsom, US
Chris McCormick · Lompoc, US
Mick Fandrich · Folsom, US

Key dates

Filing date	Oct 22, 2013
Grant date	Feb 23, 2016
Priority date	—
Expiry date	Aug 15, 2034

Classification

Technology area (CPC G)Physics
CPC primaryG06N3/02
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

This disclosure describes embodiments for a hardware based neural network integrated circuit classifier incorporating natively implemented Radial Basis functions, Restricted Coulomb Energy function, and/or kNN to make it more practical for handling a broader group of parallel algorithms.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.