有指导学习在建立瓦斯灾害信息提取模型中的应用
Application of Supervised Learning in Building Model of Extraction of Gas Disaster Informatio
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摘要: 文章基于有指导学习构造了反向传播神经网络,通过对该神经网络的训练建立了瓦斯灾害信息提取模型,并利用数据挖掘软件iDA对所建模型进行了分析,以发现和提取有价值或潜在的信息,从而达到了预防瓦斯灾害发生的目的。Abstract: The paper constructed a BP neural network on the basis of supervised learning, and built a model of extraction of gas disaster information by training the BP neural network. And it used data mining software iDA to analyze the model and to find and extract the valuable information for preventing gas disaster.
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Key words:
- gas /
- modle of information extraction /
- supervised learning /
- BP neural network /
- iDA
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