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为在设计复合装药结构时得到复合装药的能量输出和安全性双优结构,利用BP人工神经网络理论,建立结构优选模型。利用不同的感度和能量输出试验数据,进行模型的训练,训练后对样本进行预测和优选。结果表明,该方法能够克服评估复合装药结构性能优劣的各因素之间的复杂关系,实现精确的非线性预测,得到安全性和能量输出双优的设计结构。
In order to get the double superior structure of energy output and safety of composite charge in the design of composite charge structure, the structure optimization model was established by BP artificial neural network theory. Using different sensitivities and energies to output test data, training the model and forecasting and optimizing the sample after the training. The results show that the proposed method can overcome the complicated relationship between the factors that affect the performance of the composite charge structure and achieve accurate nonlinear predictions. The design structure with the best safety and energy output is obtained.