| 电梯交通模式的模糊神经网络识别 |
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| 引用本文： | 邹莉.电梯交通模式的模糊神经网络识别[J].工业控制计算机,2010,23(2):58-59,61. |
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| 作者姓名： | 邹莉 |
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| 作者单位： | 安徽国防科技职业学院,安微,六安,237011 |
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| 摘 要： | 交通模式识别的准确性将直接影响群控系统的整体性能，通过对各种电梯交通模式识别方法优、缺点的分析比较，考虑电梯交通模式的判断条件，结合神经网络和模糊推理，设计了一种基于模糊神经网络的电梯交通模式识别方法，该方法能够适应各种交通流模式的变化，并采用相应的电梯群控调度策略。
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| 关 键 词： | 电梯群控系统 模糊神经网络 交通模式 |
Elevator Traffic Pattern Recognition Based on Fuzzy Neural Network |
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| Abstract: | The accuracy of traffic pattern recognition immediate affect the overall performance of the group control system.This pa- per analyzes and compares all kinds of elevator traffic pattern recognition＇s merit and shortcoming,takes judgment condition of the elevator traffic pattern,combines neural network and fuzzy inference,and designs the method of elevator traffic pattern recognition based on fuzzy neural network.This method adapts to various traffic flow modes and uses appropriate dispatch- ing strategy of elevator group control system. |
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| Keywords: | elevator group control fuzzy neural network transport modes |
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