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题名: A Recognition Method of Surface Water Based on RBF Neural Network
作者: 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: 2013 IEEE 4th International Conference on Electronics Information and Emergency Communication
会议录出版者: IEEE
会议录出版地: NEW YORK
出版日期: 2013
页码: 217-221
收录类别: EI ; CPCI(ISTP)
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.
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/13825
Appears in Collections:信息服务与智能控制技术研究室_会议论文

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