NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
Artificial Neural Network with Hardware Training and Hardware RefreshA neural network circuit is provided having a plurality of circuits capable of charge storage. Also provided is a plurality of circuits each coupled to at least one of the plurality of charge storage circuits and constructed to generate an output in accordance with a neuron transfer function. Each of a plurality of circuits is coupled to one of the plurality of neuron transfer function circuits and constructed to generate a derivative of the output. A weight update circuit updates the charge storage circuits based upon output from the plurality of transfer function circuits and output from the plurality of derivative circuits. In preferred embodiments, separate training and validation networks share the same set of charge storage circuits and may operate concurrently. The validation network has a separate transfer function circuits each being coupled to the charge storage circuits so as to replicate the training network s coupling of the plurality of charge storage to the plurality of transfer function circuits. The plurality of transfer function circuits may be constructed each having a transconductance amplifier providing differential currents combined to provide an output in accordance with a transfer function. The derivative circuits may have a circuit constructed to generate a biased differential currents combined so as to provide the derivative of the transfer function.
Document ID
20030053367
Document Type
Other - Patent
External Source(s)
NPO-19289-1-CU
Authors
Tuan A Duong
(Jet Propulsion Laboratory La Cañada Flintridge, United States)
Date Acquired
August 21, 2013
Publication Date
January 28, 2003
Subject Category
Law, Political Science And Space Policy
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
Patent
US-Patent-6,513,023
Patent Application
US-Patent-Appl-SN-412199
No Preview Available