The development of computer science makes military weapons and equipment update fast. In the highly-informed society, the intelligent information processing technology in military, is badly needed. This paper proposes an identification method with the model of deep neural network based on the character of word vector and state. It's for weaponry in electronic text, such as aircraft, tank vehicle, artillery missile and missile weapon. The experiment shows the value of F-1 which equals 0.9102 on the test corpus.