Establishment & simulation study on a battle damage model of armored equipment
He Rui · Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University · 2010
Due to the problem of the artificial intelligence always being ignored in traditional research on a battle damage model,a method of simulating the agent adaptability by an artificial neural network was proposed.Referring to the modeling scheme of the complex adaptive system(CAS) theory,a battle damage model using the environment-rules-agent(ERA) scheme was built.The dynamic evolvement process of battle damage equipment under the effect of an external intervening agent in an uncertain dynamic battlefield environment was simulated through the RED and the BLUE Army's fighting by a BP algorithm combined with a cross target(CT) algorithm.The model aims to help researchers understand the dynamic characteristics of equipment damage.