Spreading activation and sparseness in a bidirectional associative memory

Abstract

The Bidirectional Associative Memory (BAM) is a type of artificial neural network that was shown to bear great performances in learning and recalling various types of associations. However, this model has always been investigated under optimal conditions in which all the patterns have the same desirability and the network is fully connected. In this paper… (More)
DOI: 10.1109/IJCNN.2013.6706974

Topics

5 Figures and Tables

Cite this paper

@article{Tremblay2013SpreadingAA, title={Spreading activation and sparseness in a bidirectional associative memory}, author={Christophe Tremblay and M. Dorville and K. Myers Stewart and Sylvain Chartier}, journal={The 2013 International Joint Conference on Neural Networks (IJCNN)}, year={2013}, pages={1-7} }