TY - JOUR
T1 - Global stability for a class of dynamical neural networks
AU - Fang, Yuguang
AU - Kincaid, Thomas G.
N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].
PY - 1995
Y1 - 1995
N2 - In this paper, we study the global properties of a class of asymmetrical Hopfield-type neural circuits. We first present a result for the existence and uniqueness of an equilibrium point; this result does not assume smoothness of the neural activation functions. Then we give some testable sufficient conditions for the global stability of such neural circuits. These results generalize a few previous known results and remove some restrictions on the neural circuits.
AB - In this paper, we study the global properties of a class of asymmetrical Hopfield-type neural circuits. We first present a result for the existence and uniqueness of an equilibrium point; this result does not assume smoothness of the neural activation functions. Then we give some testable sufficient conditions for the global stability of such neural circuits. These results generalize a few previous known results and remove some restrictions on the neural circuits.
UR - http://www.scopus.com/inward/record.url?scp=0029203522&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0029203522&origin=recordpage
U2 - 10.1109/acc.1995.532352
DO - 10.1109/acc.1995.532352
M3 - RGC 21 - Publication in refereed journal
SN - 0743-1619
VL - 4
SP - 2762
EP - 2766
JO - Proceedings of the American Control Conference
JF - Proceedings of the American Control Conference
T2 - Proceedings of the 1995 American Control Conference. Part 1 (of 6)
Y2 - 21 June 1995 through 23 June 1995
ER -