Application of Supervised Learning in Building Model of Extraction of Gas Disaster Informatio

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.