介绍采用模糊神经网络进行电梯群控系统交通模式识别的方法。
A traffic pattern recognition method of elevator group control systems based on fuzzy neural networks is presented in this paper.
本文首先对电梯交通模式的类别、特点进行了分析，提出了基于电梯客流统计特性的客流交通模式识别方法。
The thesis analyses the characters of elevator traffic system firstly, further point out the identifying of traffic pattern by the statistics about the elevator traffic.
针对控制目标对派梯原则进行详细的研究，并且派梯原则是以当前的交通模式为前提的，应用了交通模式识别的结果。
The structure of the FNN is given in the paper, which is the basic theory for the traffic pattern recognition and the elevator assignment.
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