1) transfer response
传输响应
2) transient response of transmission line
传输线暂态响应
3) Real time response transmission
实时响应传输
4) Output response
输出响应
1.
Some sufficient criterias about the existence and uniqueness of a ω-periodic solution are obtained under the assumption of that each output response is bounded and satisfies Lipschitz condition for Hopfield neural network, when all input signals are continuously ω-periodic functions and the network parameters satisfy suitable conditions, by means of the method of a suitable Lyapunov functional.
假设具有时滞的Hopfield神经网络的每个输出响应函数是满足Lipschitz条件的有界函数,当该网络的输入信号始终以正常数ω为周期,并且在网络参数满足一定的条件时,通过构造适当的Lyapunov泛函的方法,得到了该类网络必存在唯一的ω-周期解,并且其余各解都按指数收敛于该周期解的一些判据,通过实例对所得到的判据进行了直观性解释。
6) output / response
输出/响应
补充资料：冲激响应
冲激响应
impulse response
下面介绍单位冲激函数与脉冲函数。脉冲函数P。(t)定义为，O
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