FU Hua1, ZHAO Dan1, ZHOU Fang2. Research on application of RS-RBF information fusion in gas monitoring[J]. 2009, 28(12): 30-32. DOI: 10.13873/j.1000-97872009.12.027.
Aimed at the singleness and high uncertainty in data processing of single-sensor and low-lever multi-sensor in coal mine
the technology of information fusion based on the combination of the theory of rough set and neural network in multi-sensor is adopted to realize the extraction towards the characteristics of gas disaster information
after analysis
processing and dimensionality compression to the detective information.With the help of the identification analysis of the gas disaster
the status information of gas is obtained more accurately and reliably and the performance of gas monitoring system is improved highly.Advanced theory and technical support are provided to obtain the general rules of variety of gas disaster and give out information accurately and timely.