Research on development method of an artificial intelligent decision-making system

Hai-xia Chen; Zi-hao Zhang; Xiao-ling Kong; Yu-xin Sun

doi:10.1117/12.2625592

27 March 2022 Research on development method of an artificial intelligent decision-making system

Hai-xia Chen, Zi-hao Zhang, Xiao-ling Kong, Yu-xin Sun

Proceedings Volume 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications; 121699S (2022) https://doi.org/10.1117/12.2625592
Event: Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 2021, Kunming, China

Abstract

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.

Citation Download Citation

Hai-xia Chen, Zi-hao Zhang, Xiao-ling Kong, and Yu-xin Sun "Research on development method of an artificial intelligent decision-making system", Proc. SPIE 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 121699S (27 March 2022); https://doi.org/10.1117/12.2625592

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