A Method for the Associative Storage of Analog Vectors
Abstract
A method for storing analog vectors in Hopfield's continuous feed(cid:173) back 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 .
Cite
Text
Atiya and Abu-Mostafa. "A Method for the Associative Storage of Analog Vectors." Neural Information Processing Systems, 1989.Markdown
[Atiya and Abu-Mostafa. "A Method for the Associative Storage of Analog Vectors." Neural Information Processing Systems, 1989.](https://mlanthology.org/neurips/1989/atiya1989neurips-method/)BibTeX
@inproceedings{atiya1989neurips-method,
title = {{A Method for the Associative Storage of Analog Vectors}},
author = {Atiya, Amir F. and Abu-Mostafa, Yaser S.},
booktitle = {Neural Information Processing Systems},
year = {1989},
pages = {590-595},
url = {https://mlanthology.org/neurips/1989/atiya1989neurips-method/}
}