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A Recognition Method of Surface Water Based on RBF Neural Network
Chen XL(陈雪莲); Hu JT(胡静涛)
作者部门信息服务与智能控制技术研究室
会议名称2013 IEEE 4th International Conference on Electronics Information and Emergency Communication
会议日期November 15-17, 2013
会议地点Beijing, China
会议录名称2013 IEEE 4th International Conference on Electronics Information and Emergency Communication
出版者IEEE
出版地NEW YORK
2013
页码217-221
收录类别EI ; CPCI(ISTP)
EI收录号20142917957424
WOS记录号WOS:000358599000052
产权排序1
关键词Rbf Neutral Network Potential Outlet Recognition Of Surface-water
摘要For the extraction of surface-water data characteristics was not easily, and pseudo-depression was easy to confuse with the surface-water in the recognition of surface-water, surface-water radial basis function neural network recognition model was proposed. According to the features of surface-water and the computational result as input and output neural cells, the surface-water radial basis function neural network recognition model was established. The proposed model solved the problem that the distinguishing of surface-water and pseudo-depression was difficult. As the results, the proposed surface-water recognition model can recognize the surface-water efficiently.
语种英语
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文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/13825
专题信息服务与智能控制技术研究室
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Chen XL,Hu JT. A Recognition Method of Surface Water Based on RBF Neural Network[C]. NEW YORK:IEEE,2013:217-221.
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