| 小波神经网络在水文水资源应用中的研究进展 |
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| 引用本文： | 冯艳,付强,刘仁涛,贺延国.小波神经网络在水文水资源应用中的研究进展[J].水资源与水工程学报,2006,17(3):38-41. |
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| 作者姓名： | 冯艳 付强 刘仁涛 贺延国 |
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| 作者单位： | 1. 东北农业大学,水利与建筑学院,黑龙江,哈尔滨,150030
2. 东北农业大学,水利与建筑学院,黑龙江,哈尔滨,150030;北大荒集团公司博士后科研工作站,黑龙江农垦总局,黑龙江,哈尔滨,150040 |
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| 基金项目： | 国家科技攻关项目;中国科学院资助项目;中国博士后科学基金;黑龙江省杰出青年科学基金 |
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| 摘 要： | 以人工神经网络为基础的小波神经网络具有较强的逼近和容错能力、较快的收敛速度和较好的预报效果。在介绍小波神经网络模型的结构、特点基础上,着重介绍了目前关于小波神经网络在水文水资源领域的研究现状,并指出了其在理论及应用中存在的问题。
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| 关 键 词： | 人工神经网络 小波分析 小波神经网络 水文水资源 |
| 文章编号： | 1672-643X(2006)03-0038-04 |
| 修稿时间： | 2005年10月20 |
Research progress of wavelet neural networks in application to hydrology and water resources |
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| FENG Yan,FU Qiang,LIU Ren-tao,HE Yan-guo.Research progress of wavelet neural networks in application to hydrology and water resources[J].Journal of water resources and water engineering,2006,17(3):38-41. |
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| Authors: | FENG Yan FU Qiang LIU Ren-tao HE Yan-guo |
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| Abstract: | Wavelet neural networks was based on the artificial neural networks.The method has some excellent characteristics such as not only exceptional approaching ability,fault-tolerance capability but also quick constringency and preferably prediction effect.On the premise of introducing its structure and characteristics,the article mainly introduces the research actuality of wavelet neural networks in the hydrology and water resources,and puts forward some problem of its theory and application. |
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| Keywords: | artificial neural networks wavelets analysis wavelet neural networks hydrology and water resources |
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