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.
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.
沥青路面裂缝检测是交通信息工程和模式识别领域的一项挑战性的工作。
Asphalt pavement crack detection is a challenging work in the area of traffic information engineering and pattern recognition.
针对电梯群控调度中的交通流模式识别问题，提出了一种基于多值分类支持向量机的电梯交通流模式识别方法。
Aiming at the pattern recognition of traffic flows in elevator group control systems, a method based on the multi-value classification SVM (Support Vector Machine) is put forward.
结果表明，基于支持向量机的交通流模式识别方法能够较准确地辨识出各种交通流模式。
The results demonstrate that, by using the proposed method, different traffic flow modes can be recognized accurately.
文中介绍了电梯交通流模式识别的设计流程，并建立了相应的电梯交通流模式识别器。
Moreover, the design procedure of the pattern recognition is presented and the corresponding pattern classifier is established.
视频车辆检测系统是一种利用图像处理和模式识别技术实现对交通目标检测和识别的计算机处理系统。
Video vehicle detection system is a computer processing system which uses image processing technology to detect the traffic flow.
车牌自动识别技术是计算机视觉与模式识别技术在智能交通领域应用的重要研究课题之一。
The purpose of transporting systems is to facilitate the automatic management. Therefore, LPR is the key technology to achieve the demand of ITS.
车牌自动识别技术是计算机视觉与模式识别技术在智能交通领域应用的重要研究课题之一。
The purpose of transporting systems is to facilitate the automatic management. Therefore, LPR is the key technology to achieve the demand of ITS.
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