关键词: 数据驱动, 效能评估模型, GA-BP神经网络, 指标关联, 客观赋权

Abstract: The problem of weapon equipment effectiveness evaluation is complex and nonlinear. However, the analytical method cannot empower evaluation index objectively or establish the mathematical model accurately. This paper proposes a data-driven evaluation model construction method. We introduce meta-model technology like GA-BP algorithm to construct effectiveness evaluation model, which can mine relationships and weights between indicators objectively. We take the interception effectiveness evaluation of a certain type of air defense missile weapon system as an example to verify the feasibility of this method. The method is helpful to optimize technical indicators and predict effectiveness rapidly.

Key words: data-driven, effectiveness evaluation model, GA-BP, indicator association, objective weighting