Demand feature identifying for emergency goods under earthquake rescue logistics by vague set based bp neural network
文献类型：会议论文
| 作者 | Chang CG(常春光) ; Ma, Xiang; Song XY(宋晓宇); Kong FW(孔凡文)
|
| 出版日期 | 2010 |
| 会议名称 | 2010 International Conference on Optoelectronics and Image Processing, ICOIP 2010 |
| 会议日期 | November 11-12, 2010 |
| 会议地点 | Haiko, China |
| 关键词 | Vague Set BP Neural Network Membership Degree Function Earthquake |
| 页码 | 371-375 |
| 通讯作者 | 常春光 |
| 中文摘要 | During the preliminary stage of rescue for earthquake disaster, some important information needs to be provided by identifying the key demand features such as quantity, necessary degree and urgent degree for emergency goods. To dispose uncertain information, especially unknown information for identifying above features, vague set is introduced into the conventional BP neural network. The relation among supportive degree, counteractive degree and unknown degree are analyzed. For disposing unknown information for vague set, the method for transforming vague set information into fuzzy set information is proposed. A series of rules for transforming vague values into fuzzy values are presented. Hereby, the fuzzy membership degree function is given. The structure of four-layer multi output VBP neural network is designed, and its implement steps are studied. To validate the validity of VBP neural network, it is applied to identify demand feature for emergency goods under earthquake. The result by VBP neural network is compared with those by conventional BP neural network and the VBP neural network which is based on conventional fuzzy membership degree transforming formula. The result shows that, the test precision by above VBP neural network is higher than those by the other two methods. As a novel learning method, VBP neural network is more suitable for training samples with uncertain information. |
| 收录类别 | EI |
| 产权排序 | 1 |
| 会议主办者 | Hunan University of Science and Technology; Central South University; Intelligent Computation Technology and Automation Society; Changsha University of Science and Technology; InfoBeyond Technology LLC |
| 会议录 | Proceedings - 2010 International Conference on Optoelectronics and Image Processing, ICOIP 2010
 |
| 会议录出版者 | IEEE Computer Society |
| 会议录出版地 | Piscataway, NJ |
| 语种 | 英语 |
| ISBN号 | 978-0-7695-4252-2 |
| 源URL | [http://ir.sia.cn/handle/173321/19962]  |
| 专题 | 沈阳自动化研究所_工业信息学研究室 |
| 推荐引用方式 GB/T 7714 | Chang CG,Ma, Xiang,Song XY,et al. Demand feature identifying for emergency goods under earthquake rescue logistics by vague set based bp neural network[C]. 见:2010 International Conference on Optoelectronics and Image Processing, ICOIP 2010. Haiko, China. November 11-12, 2010. |
入库方式： OAI收割
来源：沈阳自动化研究所
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