| 粒子群优化BP网络建模及在缓冲包装设计中的应用 |
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| 引用本文： | 王春生,杜娟.粒子群优化BP网络建模及在缓冲包装设计中的应用[J].兰州铁道学院学报,2007,26(4):14-16. |
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| 作者姓名： | 王春生 杜娟 |
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| 作者单位： | 兰州交通大学交通运输学院 甘肃兰州730070 |
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| 基金项目： | 甘肃省自然科学基金，甘肃省教育厅科研项目，甘肃省兰州市科技攻关项目 |
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| 摘 要： | 利用粒子群优化(PSO)算法取代传统BP网络算法中的梯度下降法,对参数(权值、阈值)进行优化,并将其应用于缓冲包装设计,建立缓冲包装材料特性模型.仿真数据表明:PSO优化的BP网络算法在函数逼近误差、迭代次数上均比传统BP网络算法有显著提高,可有效地解决缓冲包装中的非线性问题.
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| 关 键 词： | 包装设计 缓冲特性 粒子群优化算法 BP网络 |
| 文章编号： | 1001-4373（2007）04-0014-03 |
| 修稿时间： | 2007-04-16 |
PSO-BP Network Modeling and Its Application to Cushioning Packaging Design |
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| Wang Chunsheng,Du Juan.PSO-BP Network Modeling and Its Application to Cushioning Packaging Design[J].Journal of Lanzhou Railway University,2007,26(4):14-16. |
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| Authors: | Wang Chunsheng Du Juan |
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| Institution: | School of Traffic and Transportation Engineering, Lanzhou Jiaotong University, Lanzhou 730070,China |
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| Abstract: | Particle Swarm Optimizer(PSO) substituts descent method in traditional BP(back-propagation) network,trains the parameters,and is applied to cushioning packaging design to establish model of cushioning packaging characteristic.The simulative data shows that the error of the function approximation and number of training are highly improved compared with the traditional BP network,and it can solve the non-linear problem of cushioning package effectively. |
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| Keywords: | packaging design cushioning characteristic PSO algorithm BP network |
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