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在总结已有燃烧模型的基础上，重点考虑压强、氧化剂的重均粒径、氧化剂的质量浓度三种主要影响因素，提出了一种基于误差反传（ＢＰ）神经网络的复合固体推进剂燃烧性能模拟计算方法，计算结果和实验值吻合较好，这为推进剂配方的计算机辅助设计提供了一种新方法。
On the basis of summarizing the existing combustion models, three main influencing factors of pressure, weight-average particle size of oxidant and mass concentration of oxidant are mainly considered. A composite solid propellant combustion based on BP neural network The performance simulation calculation method is in good agreement with the experimental results, which provides a new method for computer aided design of propellant formulations.