Neural Network Based Algorithm and Simulation of Information Fusion in the Coal Mine

The concepts of information fusion and the basic principles of neural networks are introduced. Neural networks were introduced as a way of building an information fusion model in a coal mine monitoring system. This assures the accurate transmission of the multi-sensor information that comes from the coal mine monitoring systems. The information fusion mode was analyzed. An algorithm was designed based on this analysis and some simulation results were given. Finally, conclusions that could provide auxiliary decision making information to the coal mine dispatching officers were presented.