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。
In this paper, the dynamic behaviors of continuous neural networks under structural variations in learning process are studied.
应用连续神经网络来解高频率离散问题，并采用最佳机票超额预定作为具体应用实例。
The paper aims at finding an alternation to apply the hopfield continuous network in the high rate discrete problems, which take an optimal overbooking scheme of airline as example.
那么，神经组织，只能是由连续的神经网络而不是分离的细胞组成的。
Nervous tissue must, then, be composed of a continuous network rather that discrete units.
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