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为预示HTPB推进剂的力学性能，运用人工神经网络（ANN）及其BP算法建立了多种因素对多个力学性能目标参量影响的模型．实际建业模型和检验表明：用该方法预示HTPB推进剂力学性能简便易杆，预示精度较高，仿真计算所得规律也与经验一致．
In order to predict the mechanical properties of HTPB propellants, artificial neural network (ANN) and its BP algorithm were used to establish a model of the influence of many factors on the target parameters of multiple mechanical properties. The actual construction model and test show that using this method to predict the mechanical properties of HTPB propellant is easy and easy to use, which indicates that the accuracy of simulation results is also consistent with the experience.