该模型利用过程神经元网络所具有的对时间变量的非线性映射能力，实现系统的输入、输出之间的连续映射关系。
In this model, the continuous input-output mapping of the system is realized by nonlinear mapping capability to the time variable of process neural networks.
采用模糊动态模型，对连续时间的高阶非线性系统进行了模糊控制。
An adaptive fuzzy controller is developed for continuous time nonlinear systems with high order by using fuzzy dynamic model.
因此神经网络是一种具有高度非线性的超大规模连续时间动力学系统。
So artificial neural network is a dynamic system with highly non-lineal continued time.
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