Title :
Stability Conditions for Discrete Delayed Hopfield Networks in Serial Updating Mode
Author :
Ma, Run-Nian ; Guan, Hua-Feng ; Zhang, Sheng-Rui
Author_Institution :
Telecommun. Eng. Inst., Air Force Eng. Univ., Xi´´an
Abstract :
The discrete Hopfield neural networks is a famous networks with a wide range applications. The discrete delayed Hopfield neural networks are an extension of the discrete Hopfield neural networks. The stability of the networks is known to be bases of successful applications of the networks. In this paper, the stability of the discrete delayed Hopfield neural networks is mainly investigated in serial updating mode. Several new sufficient conditions for the discrete delayed Hopfield neural networks converging towards a stable state are obtained. The obtained results here generalize the existing results on stability of both discrete Hopfield neural networks without delay and with delay in serial updating mode.
Keywords :
Hopfield neural nets; discrete delayed Hopfield neural networks; serial updating mode; stability conditions; Computer networks; Hopfield neural networks; Military computing; Neural networks; Neurons; Road transportation; Stability; Sufficient conditions; Symmetric matrices; Telecommunication computing;
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
DOI :
10.1109/ICNC.2008.507