UNLEARNING IN NEURAL NETWORKS WITH MANY-NEURON INTERACTIONS

M.C.D. Barrozo and T.J.P. Penna
Additional contact information
M.C.D. Barrozo: Instituto de Física, Universidade Federal Fluminense C.P. 100296, Niterói, RJ 24020–004, Brazil
T.J.P. Penna: Instituto de Física, Universidade Federal Fluminense C.P. 100296, Niterói, RJ 24020–004, Brazil

International Journal of Modern Physics C (IJMPC), 1994, vol. 05, issue 03, 503-512

Abstract: We present a version of a multineuron interaction model that includes unlearning. Through extensive numerical simulations we can show that unlearning increases the performance of the network with respect to retrieval of stored informations by enlarging the basins of attraction. Relationships that allow us to estimate the optimal performance in the learning stage of this model were found.

Date: 1994
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0129183194000684
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:05:y:1994:i:03:n:s0129183194000684

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0129183194000684

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 ().