Machine learning-based penetration algorithm verification method and system

Abstract

The invention discloses a machine learning-based defense penetration algorithm verification method and a machine learning-based defense penetration algorithm verification system. The method comprises the following steps of: obtaining a plurality of defense penetration influence factors related to attack and defense parties; setting a weight value for each defense penetration influence factor based on a machine learning regression model; determining a penetration probability based on the weight value of each penetration influence factor and the parameter of the penetration influence factor; and adjusting the parameter and the corresponding weight value of each penetration influence factor, and verifying the parameter and the corresponding weight value of the penetration influence factor when the penetration probability is higher than a preset threshold value according to different penetration probabilities corresponding to different set weight values. Various factors possibly influencing the calculation of the penetration probability are considered, and weights are set for different influence factors through a weight calculation method, so that the accuracy of the calculation of the penetration probability is improved. In addition, the penetration probability calculation system can optimize and improve the penetration probability by changing different influence factors.

Description

technical field [0001] The invention relates to the technical field of verification, in particular to a method and system for verifying a penetration algorithm based on machine learning. Background technique [0002] The missile penetration process is a complex offensive and defensive confrontation process. The offensive missile will have various penetration measures such as decoys, jammers, and multiple warheads. The defense system can only be realized by relying on the early warning, detection, identification, and interception of the system. For the successful interception of incoming missiles, there are many elements of confrontation, and rapidly changing factors exist widely and act at the same time. Therefore, it is extremely difficult to establish a mathematical analytical model describing the penetration process and the system will be very complicated. [0003] In the actual missile penetration process, the offensive and defensive process is complicated, and there ar...

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Problems solved by technology

Therefore, it is extremely difficult to establish a mathematical analytical model describing the penetration process and the system will be very complicated

[0003] In the actual missile penetration process, the offensive and defensive process is complicated, and there are too many confrontation elements. The accuracy of the calculation of the penetration probability of the existing defense penetration algorithm is not high. In addition, the existing technology can only calculate the penetration probability based on the past data. Unable to optimize the penetration algorithm, improve the penetration probability, and give a more efficient penetration plan

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