Abstract：According to air target identification problem, recognition models based on simple Bayesian and probabilistic neural network are established. On the input data processing, the zscore and 0-1 standardization methods are utilized, respctively. Finally, the rationality of model is verified and air targets recognition accuracies of the probabilistic network and simple Bayesian method are compared.
周超, 胡晓峰, 郑书奎, 刘潇. 智能算法在空中目标识别问题中的应用[J]. 指挥与控制学报, 2016, 2(2): 144-147.
ZHOU Chao, HU Xiao-Feng, ZHENG Shu-Kui, LIU Xiao. Air Target Identification Based on Probabilistic Neural Network. Journal of Command and Control, 2016, 2(2): 144-147.
2016, Vol. 2 
