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.
介绍了应用两个模糊神经网络分两步进行电梯群控系统交通模式识别，提出了利用专家知识获取样本和训练网络的步骤。
Traffic pattern recognition method of elevator group control systems is presented. The method consists of two steps, in which fuzzy neural networks are employed.
该方法借鉴了神经网络理论、模糊聚类算法和自适应模式识别法的优点，自动完成样本的分类与样件设计工作。
Based on the theory of neural networks, fuzzy clustering algorithm and adaptive pattern recognition, the method can be used to classify and design the sample workpiece automatically.
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