1) global dissipativity
全局耗散性
1.
In this paper,the global dissipativity of a class of neural networks with finite distributed delays is investigated by constructing a radically unbounded and positive definite Lyapunov function.
通过构造径向无界的正定的Lyapunovh函数,研究一类具有有限分布延时的神经网络的全局耗散性,在假定延时可微的情况下,给出了几个确保网络全局耗散性的充分条件。
2) global exponential dissipativity
全局指数耗散性
1.
The global exponential dissipativity of a class of neural networks with finite distributed delays is investigated by constructing radically unbounded and positive definite Lyapunov function.
通过构造径向无界正定的Lyapunov函数,研究了一类具有有限分布延时的神经网络的全局指数耗散性,在假定延时可微的情况下,给出了几个确保网络全局耗散性的充分条件。
3) global robust dissipativity
全局鲁棒耗散性
1.
The main contents of this dissertation discuss the global asymptotic stability and the global robust stability of neural networks with time-varying delays, as well as global robust dissipativity of neural networks with variable and unbounded delays.
本文首先介绍了神经网络的发展进程、课题的背景和研究意义及国内外研究现状,更主要地讨论了时变时滞细胞神经网络的全局渐近稳定性、全局鲁棒稳定性以及时变无界时滞神经网络的全局鲁棒耗散性等问题。
4) whole energy consumption
全局能耗
5) localized dissipation
局部耗散项
1.
In this paper,using multiplier!method and weighted function method,we derived local energy decay of the wave equations with localized dissipation while the condition of compact support of original data was removed.
在初始值去掉其紧支集的条件下,利用乘子方法及加权函数的方法,得到外区域上带局部耗散项的波动方程的局部能量衰减估计。
6) all-to-all personalized exchange
全局扩散
1.
Algorithm for all-to-all personalized exchange with minimum start-up cost on mesh;
网格结构上具有最小启动时间的全局扩散算法
补充资料：连续性与非连续性(见间断性与不间断性)
连续性与非连续性(见间断性与不间断性)
continuity and discontinuity
11an父ux泊g四f“山。麻以角g、.连续性与非连续性(c。nt，n琳t:nuity一)_见间断性与不间断性。and diseo红ti-
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条