Thresholds in layered neural networks with variable activity
Disordered Systems and Neural Networks
2009-10-31 v1 Statistical Mechanics
q-bio
Abstract
The inclusion of a threshold in the dynamics of layered neural networks with variable activity is studied at arbitrary temperature. In particular, the effects on the retrieval quality of a self-controlled threshold obtained by forcing the neural activity to stay equal to the activity of the stored paterns during the whole retrieval process, are compared with those of a threshold chosen externally for every loading and every temperature through optimisation of the mutual information content of the network. Numerical results, mostly concerning low activity networks are discussed.
Cite
@article{arxiv.cond-mat/9909443,
title = {Thresholds in layered neural networks with variable activity},
author = {D. Bolle' and G. Massolo},
journal= {arXiv preprint arXiv:cond-mat/9909443},
year = {2009}
}
Comments
15 pages, Latex2e, 6 eps figures