A Recognition Method of Surface Water Based on RBF Neural Network
文献类型：会议论文
| 作者 | Chen XL(陈雪莲); Hu JT(胡静涛)
|
| 出版日期 | 2013 |
| 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 |
| 关键词 | RBF neutral network potential outlet recognition of surface-water |
| 页码 | 217-221 |
| 中文摘要 | 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. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 1 |
| 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 |
| 语种 | 英语 |
| WOS记录号 | WOS:000358599000052 |
| 源URL | [http://ir.sia.cn/handle/173321/13825]  |
| 专题 | 沈阳自动化研究所_信息服务与智能控制技术研究室 |
| 推荐引用方式 GB/T 7714 | Chen XL,Hu JT. A Recognition Method of Surface Water Based on RBF Neural Network[C]. 见:2013 IEEE 4th International Conference on Electronics Information and Emergency Communication. Beijing, China. November 15-17, 2013. |
入库方式： OAI收割
来源：沈阳自动化研究所
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