研究一类具有不对称互连结构的广义时滞神经网络的动态行为。

The dynamic behavior of a class of generalized neural networks with time delay and asymmetric (interconnecting) structure is investigated.

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在静态条件下可以直接比较输入和输出数值，在动态条件下应排除时滞影响，分析输出和输入数值的随机偏差。

Deduced that the input data and output data can been compared directly under static condition, but the time delay must be excluded under dynamic condition and analyze the random error of the data.

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这类系统的连续动态、离散动态与时滞相互作用，使系统的动态行为变得十分复杂。

Due to the interaction among the continuous dynamics and discrete dynamics and time delays, the behavior of such systems is very complicated.

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