...层次可分为单级分销网络模型和多级分销网络模型；按处理数据类型 的不同可划分为连续近似模型（Continuous Approximation Model，CAM）和离散模型 （DiscreteModels，DM）。
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For the problem that the input and output of real systems is a continuous process relative to time, this paper proposed a process neural network model for continuous function approximation.
针对实际系统的输入输出是与时间有关的连续过程，提出了一类用于连续过程逼近的过程神经元网络模型。
In this paper the channeling classical approximation is described. The continuous model and the concept of the static average potential are introduced.
本文主要讨论沟道的经典近似，引入了连续模型和静态平均势概念。
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