| 神经网络在膨胀石墨用燃爆剂配方设计中的应用 |
| |
| 引用本文： | 张俊坤,张倩,李天鹏,高振洲,汪金军.神经网络在膨胀石墨用燃爆剂配方设计中的应用[J].价值工程,2010,29(31):176-177. |
| |
| 作者姓名： | 张俊坤 张倩 李天鹏 高振洲 汪金军 |
| |
| 作者单位： | [1]军械工程学院,石家庄050003 [2]武汉士官学校,武汉430000 |
| |
| 摘 要： | 利用人工神经网络算法建立了燃爆剂燃爆热力学参数的定量BP网络模型,通过6组燃爆剂配方的成分组成及其输出参数测试值对模型进行了训练,用另外3组燃爆剂配方的测试结果与相应的预测结果进行了对比研究。结果表明,该方法能较好地预测燃爆剂的燃爆参数,预测值和试验值误差最大为2.05%,精度较高,可作为燃爆剂配方设计、输出特性参数预测的工具。
|
| 关 键 词： | 人工神经网络 膨胀石墨 燃爆剂 预测 |
Neural Network Used in the Expanded Graphite Lasting Formulation Design |
| |
| Zhang Junkun,Zhang Qian,Li Tianpeng,Gao Zhenzhou,Wang Jinjun.Neural Network Used in the Expanded Graphite Lasting Formulation Design[J].Value Engineering,2010,29(31):176-177. |
| |
| Authors: | Zhang Junkun Zhang Qian Li Tianpeng Gao Zhenzhou Wang Jinjun |
| |
| Institution: | (①Ordnance Engineering College,Shijiazhuang 050003,China;②Wuhan Ordnance Non-Commissioned Officer Academy,Wuhan 430000,China) |
| |
| Abstract: | An artificial neural network（ANN） model about thermodynamic parameters evaluation of blasting agent was set up.After being trained by a train-set containing 6 compositions,the BP model was used to predict the thermodynamic parameters of blasting agent,and the predicted values were compared with that of experiments.The results showed that the most prediction is 2.05%,and the ANN model was capable of making accurate predictions of explosion parameters of blasting agent. |
| |
| Keywords: | artificial neural network expanded graphite blasting agent prediction |
| 本文献已被 维普 万方数据 等数据库收录！ |
|
