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River flow forecasting with artificial neural networks using satellite observed precipitation pre-processed with flow length and travel time information: case study of the Ganges river basin

机译：利用人工神经网络进行河流流量预测，利用卫星观测降水预处理流量长度和行程时间信息：恒河流域实例研究

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M. K. Akhtar; G. A. Corzo; S. J. van Andel; A. Jonoski;
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年度 2009
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1. River flow forecasting with artificial neural networks using satellite observed precipitation pre-processed with flow length and travel time information: case study of the Ganges river basin [J] . Akhtar MK, Corzo GA, van Andel SJ, Hydrology and Earth System Sciences . 2009,第9期

机译：用人工神经网络通过卫星观测到的降水量（经过流量和传播时间信息进行预处理）对河流流量进行预测：恒河流域的案例研究
2. River flow forecasting with artificial neural networks using satellite observed precipitation pre-processed with flow length and travel time information: case study of the Ganges river basin [J] . M. K.Akhtar, G. A.Corzo, S. J.van Andel, Hydrology and Earth System Sciences . 2009,第9期

机译：用人工神经网络通过卫星观测到的降水量（经过流量和传播时间信息进行预处理）对河流流量进行预测：恒河流域的案例研究
3. Hydrologic Data Exploration and River Flow Forecasting of a Humid Tropical River Basin Using Artificial Neural Networks [J] . R. Gopakumar, Kaoru Takara, E. J. James Water Resources Management . 2007,第11期

机译：基于人工神经网络的热带湿润流域水文数据勘探与流量预报。
4. An Artificial Neural Network Based Runoff Forecasting Model in the Absence of Precipitation Data: A Case Study of Khlong U-Tapao River Basin, Songkhla Province, Thailand [C] . Phuphong Sudarat, Surussavadee Chinnawat International Conference on Intelligent Systems, Modelling and Simulation . 2013

机译：缺乏降水数据的人工神经网络基于径流预测模型 - 以Khlong U-Tapao河流域为例，宋卡省，泰国
5. The impact of climate and catchment changes on streamflow and flow forecasting in the Qiantang River Basin, China. [D] . Yang, Meng. 2005

机译：气候和流域变化对钱塘江流域流量和流量预报的影响。
6. Application of the Entropy Spectral Method for Streamflow and Flood-Affected Area Forecasting in the Brahmaputra River Basin [O] . Xiaobo Wang, Shaoqiang Wang, Huijuan Cui 2019

机译：熵谱法在Brahmaputra河流域流出和洪水影响地区预测中的应用
7. Daily stream flow forecasting using artificial neural networks (case study: the upper Bernam River basin) [O] . Porhemmat Mojtaba 2012

机译：使用人工神经网络的每日流量预测（案例研究：伯南河流域上游）

River flow forecasting with artificial neural networks using satellite observed precipitation pre-processed with flow length and travel time information: case study of the Ganges river basin

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