AUTOASSOCIATIVE-HETEROASSOCIATIVE NEURAL NETWORK

Patent №

US 6,401,082

Granted

2002-06-04

Filed 1999

Owner

UNITED STATES AIR FORCE

Lab

AI components

4

ml · vision · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

09434549

An efficient neural network computing technique capable of synthesizing two sets of output signal data from a single input signal data set. The method and device of the invention involves a unique integration of autoassociative and heteroassociative neural network mappings, the autoassociative neural network mapping enabling a quality metric for assessing the generalization or prediction accuracy of the heteroassociative neural network mapping.

Machine learningVisionPlanningAI hardwareG06N 3/045G06F 18/21355G06N 3/0455G06N 3/0499G06N 3/09

AI classification

Machine learning1.00
AI hardware1.00
Vision0.98
Planning0.98
Knowledge representation0.48
Speech0.05
Evolutionary computation0.00
Natural language0.00

Ownership

UNITED STATES AIR FORCE

assignment · 104140329

Assignors

ROGERS, STEVEN K., KABRISKY, MATTHEW

On an employer assignment, the assignors are typically the inventors.

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