Research on development method of an artificial intelligent decision-making system
Haixia Chen, Zihao Zhang, Xiaoling Kong, Yuxin Sun · Eighth Symposium on Novel Photoelectronic Detection Technology and Applications · 2022
An artificial intelligent decision-making system based on Deep Q Network is developed according to the characteristic of the optoelectronic countermeasures for defense. In view of the high complexity of the input state variables of the system, simulation method is used to sift the state variables so as to reduce the input dimension of the network. In addition, simulation method is used to generate enough samples for the network training. Aiming at the adaptability evaluation of the system, evolutionary evaluation index is designed and simulation method is used to evaluate the adaptability of online learning ability of the system.