| 4 | Stability of discrete Hopfield neural networks with delay显示文摘Discrete Hopfield neural network with delay is an extension of discrete Hopfield neural network. As it is well known, the stability of neural networks is not only the most basic and important problem but also foundation of the network’s applications. The stability of discrete Hopfield neural networks with delay is mainly investigated by using Lyapunov function. The sufficient conditions for the networks with delay converging towards a limit cycle of length 4 are obtained. Also, some sufficient criteria are given to ensure the networks having neither a stable state nor a limit cycle with length 2. The obtained results here generalize the previous results on stability of discrete Hopfield neural network with delay and without delay. | Ma Runnian 1,2 , Lei Sheping3 & Liu Naigong41. Telecommunication Engineering Inst., Air Force Engineering Univ., Xi’an 710071, P. R. China 2. Key Lab of Information Sciences and Engineering, Dalian Univ., Dalian 111662, P. R. China 3. School of Humanity Law and Economics, Northwestern Polytechnical Univ., Xi’an 710072, P. R. China 4. Science Inst., Air Force Engineering Univ., Xi’an 710051, P. R. China | 2005 | Journal of Systems Engineering and Electronics2005，16，4： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员