Patent · US Active

Class level artificial neural network

US11537848B2 · kind B2 · utility

0Cited by

1References

15Claims

0Family size

Assignee

Raytheon Company · US

Inventor

John E. Mixter · Tucson, US

Key dates

Filing date	Jul 26, 2018
Grant date	Dec 27, 2022
Priority date	—
Expiry date	Oct 27, 2041

Classification

Technology area (CPC G)Physics
CPC primaryG06N3/09
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Classes are identified in a dataset, and an independent artificial neural network is created for each class in the dataset. Thereafter, all classes in the dataset are provided to each independent artificial neural network. Each independent artificial neural network is separately trained to respond to a single particular class in the dataset and to reject all other classes in the dataset. Output from each independent artificial neural network is provided to a combining classifier, and the combining classifier is trained to identify all classes in the dataset based on the output of all the independent artificial neural networks.

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