Weapon System Effectiveness Evaluation Method Based on Normal Distribution FSVM

In view of the disadvantages of not making full use of the data generated in the experiment and actual combat and the strong dependence of experience in the effectiveness evaluation of weapon system, a combination of machine learning and statistical technology is proposed to evaluate the effectiveness of weapon system. Based on the establishment of the weapon system tree type index system, the method of calculating the weapon system effectiveness is defined. Under the circumstance of the establishment of the tree index architecture of the weapon system, the intrinsic attributes of the weapon system index are further analyzed, and the fuzzy support vector machine regression method based on normal distribution is used to evaluate the effectiveness of the weapon system, so as to improve the rationality and accuracy of the effectiveness evaluation of the system. It provides a reference for other methods to calculate weapon system effectiveness and the development and improvement of effectiveness evaluation software.