Published 1990
| Published
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A Method for the Associative Storage of Analog Vectors
- Creators
- Atiya, Amir
- Abu-Mostafa, Yaser
- Other:
- Touretzky, David S.
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.Attached Files
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Additional details
- Eprint ID
- 63479
- Resolver ID
- CaltechAUTHORS:20160107-161548455
- AFOSR-88-0231
- Air Force Office of Scientific Research (AFOSR)
- Created
-
2016-01-09Created from EPrint's datestamp field
- Updated
-
2019-10-03Created from EPrint's last_modified field
- Series Name
- Advances in Neural Information Processing Systems
- Series Volume or Issue Number
- 2