Data Mining Application in Infrared Countermeasures
Chen Bian, Youli Wu, Xin Wu · 2021 2nd International Conference on Artificial Intelligence and Computer Engineering (ICAICE) · 2021
Based on the idea of data mining, the LM neural network can be used to build a classification and prediction model of the infrared missile hit rate. According to the model, the missile hit rate in a certain confrontation scenario can be predicted, and its accuracy is as high as 87%. The FP-Growth algorithm can also be used to excavate the association rules of infrared countermeasures and discover the relationship between the confrontation factors and the relationship between the confrontation factors and the missile miss distance. According to the results of data mining, some inherent laws in infrared countermeasures can be found, which can provide resources for the combat use of missiles and the daily trainings.