| 基于神经网络的矿用通风机监测系统建模方法研究 |
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| 引用本文： | 赵亚玲.基于神经网络的矿用通风机监测系统建模方法研究[J].煤矿机械,2009,30(12). |
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| 作者姓名： | 赵亚玲 |
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| 作者单位： | 陕西能源职业技术学院,陕西,咸阳,712000 |
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| 摘 要： | 针对目前煤矿监控水平和现有煤矿监控系统的应用技术,将嵌入式技术应用到煤矿监控系统中,实现矿用通风机的监测。同时,利用神经网络算法建立了矿用通风机监测系统的数学模型,并通过实验的方法验证了使用此方法建立数学模型的正确性,不仅为研究系统的特性做出了铺垫,而且为该方法在复杂系统建模中的应用提供了依据。
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| 关 键 词： | 通风机 嵌入式系统 神经网络 数学模型 |
Research Method to Build Modeling of Mine Fan Monitoring System Based on Neural Network |
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| Abstract: | According to the present level of coal mine monitoring and the existing application technology of coal mine monitoring system,applying the embed technology in coal mine monitoring system,realizes the mine fan monitoring system.Using neural network builds the modeling of the mine fan monitoring system.And then,validating the method is right though the experiment,which will not only supply the base to research the characteristic of the monitoring system,and also provide the base to build the modeling of the complex systems. |
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| Keywords: | mine fan embed system neural network modeling |
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