High capacity associative memories and connection constraints
High capacity associative neural networks can be built from networks of perceptrons, trained using simple perceptron training. Such networks perform much better than those trained using the standard Hopfield one-shot Hebbian learning. An experimental investigation into how such networks perform when...
Saved in:
Published in: | Connection science Vol. 16; no. 1; pp. 47 - 65 |
---|---|
Main Authors: | , |
Format: | Journal Article |
Language: | English |
Published: |
London
Taylor & Francis Group
01-03-2004
Taylor & Francis Taylor & Francis Ltd |
Subjects: | |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!