DYNAMICS OF FULLY CONNECTED NEURAL NETWORKS WITH SIGN CONSTRAINTS

M. Gusso, C. Marangi, G. Nardulli and G. Pasquariello
Additional contact information
M. Gusso: Dipartimento di Fisica dell’Universita’ di Bari, Via Amendola 173, 70126 Bari, Italy
C. Marangi: Dipartimento di Fisica dell’Universita’ di Bari, Via Amendola 173, 70126 Bari, Italy;
G. Nardulli: Dipartimento di Fisica dell’Universita’ di Bari, Via Amendola 173, 70126 Bari, Italy;
G. Pasquariello: Istituto Elaborazione Segnali e Immagini – C.N.R., Via Amendola 173, 70126 Bari, Italy

International Journal of Modern Physics C (IJMPC), 1992, vol. 03, issue 06, 1221-1233

Abstract: We consider fully connected neural networks near saturation, trained by a modified Edinburgh algorithm, with sign constraints on the synaptic couplings. We study the domains of attraction of the stored patterns for both the balanced and the unbalanced case (excess of positive over negative constraints). A comparison with the dilute network is also included.

Keywords: Attractor Neural Networks; Sign Constrained Synapses (search for similar items in EconPapers)
Date: 1992
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0129183192000841
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijmpcx:v:03:y:1992:i:06:n:s0129183192000841

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0129183192000841

Access Statistics for this article

International Journal of Modern Physics C (IJMPC) is currently edited by H. J. Herrmann

More articles in International Journal of Modern Physics C (IJMPC) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().