Based On Pca And Bp Neural Network Dangerous Chemicals, Vehicle Identification

With the economical development of China, the transportation amount of dangerous chemical substance is increasing, the transportation of dangerous substance possesses very important position by tank car. The result is serious if accident occurs when tank car passes the city or country. In order to decrease the accidents and losses of the dangerous chemical substance transportation, measures is necessary to hold back the pass of tank car in the place of the emphasis protection object and dense way during the special period. For implementing the above aim, the recognize of dangerous chemical car is fist-line.On the basis of tanker car characteristics analysis, the paper discusses the principle of the picture pretreatment, PCA characteristic pick-up and BP nerve network arithmetic and researches the tanker car recognize model, process and picture disposal technique. Computer program is written via VB and MATLAB and the recognize system of tanker car is accomplished based on PCA characteristic pick-up and BP nerve network arithmetic. This system can complete the function of picture pretreatment, PCA characteristic pick-up and BP nerve network training as well as recognize and so on.