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.
介绍了凝汽器的故障诊断常用的三种诊断方法，BP神经网络法、模糊诊断法、模糊模式识别法。
This paper introduces three kinds of commonly used diagnosis methods, which are BP neural network method, fuzzy diagnosis method and, fuzzy pattern recognition method.
文章在综合利用模糊模式识别剔除噪音信息和BP神经网络拟合优势的基础上，设计了模糊神经网络新算法。
The paper comprehensively USES the superiority of fuzzy pattern recognition over rejecting noise information and BP neural network on simulation to design a new algorithm named fuzzy neural network.
结合模糊c均值算法(FCM)与模糊最小最大神经网络算法，提出一种基于超长方体集的模糊模式识别算法。
Based on fuzzy C-Means algorithm (FCM) and fuzzy Min-Max Neural Networks, an integrated algorithm for fuzzy pattern recognition using hypercube set was proposed.
作者还说明了用于体育动作模式识别的匹配隶属函数、模糊神经网络的结构和学习方法。
The membership function of matching movements and the structure and learning methods of fuzzy neural network were also described for recognition of exercise movements.
作者还说明了用于体育动作模式识别的匹配隶属函数、模糊神经网络的结构和学习方法。
The membership function of matching movements and the structure and learning methods of fuzzy neural network were also described for recognition of exercise movements.
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