| 物流“结合部”神经网络运输平衡优化的快速算法 |
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| 引用本文： | 别文群,王苏生,缪兴锋.物流“结合部”神经网络运输平衡优化的快速算法[J].计算机工程与设计,2008,29(11):2802-2805. |
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| 作者姓名： | 别文群 王苏生 缪兴锋 |
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| 作者单位： | 1. 广东轻工职业技术学院,教育技术中心,广东,广州,510300
2. 哈尔滨工业大学,深圳研究生院,广东,深圳,518055 |
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| 摘 要： | 一个好的神经网络结构可以大大提高它的处理能力和收敛速度,所以神经网络的算法一直是人们研究的热点问题.通过对物流活动全过程进行的整体研究,从物流活动业务网络的一般结构中,抽象出物流系统的网络图,并总结了物流系统网络图的特点,将优化运输问题转换成求解网络系统的平衡点,并尝试用物流系统"结合部"神经网络技术快速计算运输供给-需求平衡优化问题.
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| 关 键 词： | 神经网络 线性规划 模型 物流系统 结合部 |
| 文章编号： | 1000-7024(2008)11-2802-04 |
| 修稿时间： | 2007年6月12日 |
Fast-stepping algorithm of transporting balance optimization of neural networks in joint-part of logistics |
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| BIE Wen-qun,WANG Su-sheng,MIAO Xing-feng.Fast-stepping algorithm of transporting balance optimization of neural networks in joint-part of logistics[J].Computer Engineering and Design,2008,29(11):2802-2805. |
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| Authors: | BIE Wen-qun WANG Su-sheng MIAO Xing-feng |
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| Affiliation: | BIE Wen-qun1,WANG Su-sheng2,MIAO Xing-feng1 (1. Center of Education Technology,Guangdong Industry Technical College,Guangzhou 510300,China,2. School of Shenzhen Graduate,Harbin Institute of Technology,Shenzhen 518055,China) |
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| Abstract: | A good structure can greatly improve the power and convergent speed of neural network. According this, the algorithm is always a hotspot in neural network research. The whole logistics activity process is researched. And the logistics system network diagram is abstracted from the general construction inside of the network logistics activity, and also the characteristics of the network diagram are summarized. Optimization transportable question is converted into solving the balance point of network system. T... |
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| Keywords: | neural networks linear planning model logistics system joint-part |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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