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.
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 paper, the dynamic behaviors of continuous neural networks under structural variations in learning process are studied.
本文研究了连续神经网络在学习过程中结构摄动情况下网络的动态特性。
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