EQUILIBRIUM CAPACITY OF ANALOG FEEDBACK NEURAL NETWORKS

Authors
JIN L GUPTA MM
Citation
L. Jin et Mm. Gupta, EQUILIBRIUM CAPACITY OF ANALOG FEEDBACK NEURAL NETWORKS, IEEE transactions on neural networks, 7(3), 1996, pp. 782-787
Citations number
10
Categorie Soggetti
Computer Application, Chemistry & Engineering","Engineering, Eletrical & Electronic","Computer Science Artificial Intelligence","Computer Science Hardware & Architecture","Computer Science Theory & Methods
Journal title
IEEE transactions on neural networks → ACNP
ISSN journal
10459227
Volume
7
Issue
3
Year of publication
1996
Pages
782 - 787
Database
ISI
SICI code
1045-9227(1996)7:3<782:ECOAFN>2.0.ZU;2-T
Abstract
A method for estimating the equilibrium capacity of a general class of analog feedback neural networks is presented in this brief paper, Som e explicit relationships between upper bound of the number of possible stable equilibria and the network parameters such as self-feedback co efficients, weights, and gains of a feedback neural network are obtain ed. Increasing the equilibrium capacity using multimodal sigmoidal fun ctions is also discussed. Some examples are provided to demonstrate th e effectiveness of the analytical results presented.