Published 1990 | Version Published
Book Section - Chapter Open

A Method for the Associative Storage of Analog Vectors

Abstract

A method for storing analog vectors in Hopfield's continuous feedback model is proposed. By analog vectors we mean vectors whose components are real-valued. The vectors to be stored are set as equilibria of the network. The network model consists of one layer of visible neurons and one layer of hidden neurons. We propose a learning algorithm, which results in adjusting the positions of the equilibria, as well as guaranteeing their stability. Simulation results confirm the effectiveness of the method.

Additional Information

© 1990 Morgan Kaufmann. This work is supported by the Air Force Office of Scientific Research under grant AFOSR-88-0231.

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Identifiers

Eprint ID
63479
Resolver ID
CaltechAUTHORS:20160107-161548455

Funding

Air Force Office of Scientific Research (AFOSR)
AFOSR-88-0231

Dates

Created
2016-01-09
Created from EPrint's datestamp field
Updated
2019-10-03
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Series Name
Advances in Neural Information Processing Systems
Series Volume or Issue Number
2