Major Dangerous Sources Classification Based on Pattern Recognition Method

Abstract

The important method of managing major dangerous sources in chemical industrial zone was classified according to the possibility of risk. This paper presented a model of classifying major dangerous sources based on pattern recognition method. The model was simulated by a computer program in matlab9.0 platform, and the experimental results proved that the accuracy of pattern recognition classifier was over 95%. With pattern recognition method, major dangerous sources classification was effective and accurate in comparison with conventional assessment method, which provided a new approach to risk assessment of major dangerous sources in chemical industrial zone.