摘要
联合火力打击方案评估是对联合作战备选方案的综合评估,武器装备运用合理性作为方案的核心,关系着打击行动的费效比和作战企图能否实现。由于各种评估指标的不确定性,在评估中难免会出现不客观,缺乏科学合理性。文中基于BP神经网络建立评估模型,通过用MATLAB软件的仿真检验,证明了BP神经网络可以很好的对方案评估,避免人为因素的影响,可以科学,客观地对方案进行评估。
Joint fire strike operation evaluation is the comprehensive evaluation of joint operation alternatives, and is the core of weapon equipment using rationality, it relations with the action against the cost-effectiveness ratio and whether the intention of operation would achieve. Due to the variety of evaluation indicators in the evaluation of uncertainty, it will inevitably be biased and lack of scientific rationality. In this paper, it based on BP neural network evaluation model, it proves that BP neural network can be very good for the alternative evaluation by using the MATLAB software simulation test, it avoids the influence of human factors, scientifically and objectively evaluate the alternatives.
出处
《计算机与数字工程》
2013年第1期7-9,共3页
Computer & Digital Engineering
