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Model of Gas Warning System Based on Neural Network Expert

机译:基于神经网络专家的气体警告系统模型

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Large number of coal mines in China, the repeated occurrence of gas accidents, which take the great loss to the people's lives and property. In recent years, early-warning model of gas become more and more popular by many people. The key is early warning of gas access to the various characteristics of gas, in-depth analysis, and then make the appropriate warning. This paper discusses a new type of gas early warning model. First, the neural network and expert system combined with a new type of neural network expert system as the core of the model, and then design a specific gas early warning.
机译:中国的大量煤矿,重复发生的煤气事故,这对人民的生活和财产取得了巨大损失。近年来,许多人的早期预警模型变得越来越受欢迎。该关键是气体进入气体的各种特征,深入分析,然后进行适当的警告。本文讨论了一种新型气体预警模型。首先,神经网络和专家系统结合了一种新型的神经网络专家系统作为模型的核心,然后设计了特定的气体预警。

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