Published 1990
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A Method for the Associative Storage of Analog Vectors
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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.
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© 1990 Morgan Kaufmann. This work is supported by the Air Force Office of Scientific Research under grant AFOSR-88-0231.Attached Files
Published - 206-a-method-for-the-associative-storage-of-analog-vectors.pdf
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206-a-method-for-the-associative-storage-of-analog-vectors.pdf
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- 63479
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- CaltechAUTHORS:20160107-161548455
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Funding
- Air Force Office of Scientific Research (AFOSR)
- AFOSR-88-0231
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2016-01-09Created from EPrint's datestamp field
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2019-10-03Created from EPrint's last_modified field
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- Advances in Neural Information Processing Systems
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- 2