Research on the classification of air defense objectives based on BP neural network
JU Zhi-qin · Modern Defence Technology · 2006
A new model of classification of air defense objectives based on BP neural network is put forward.The approach establishes the classification evaluation index system,and then regards the classified grades as training samples sets.The standard values of indexes are selected as input values of samples to establish multi-parameters classification model of air defense objectives based on BP neural network.At last an example is given to practice the BP neural network,and some kind of reasonable conclusion is obtained.