首页> 外文OA文献 >Daily stream flow forecasting using artificial neural networks (case study: the upper Bernam River basin)

【2h】

Daily stream flow forecasting using artificial neural networks (case study: the upper Bernam River basin)

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）

页面导航

著录项
相似文献
相关主题

著录项

作者
Porhemmat Mojtaba;
展开▼
作者单位

展开▼
年度 2012
总页数
原文格式 PDF
正文语种 en
中图分类

相似文献

外文文献
中文文献
专利

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. Stream Flow Forecasting in Mahanadi River Basin using Artificial Neural Networks [J] . Abinash Sahoo, Sandeep Samantaray, Dillip K Ghose Procedia Computer Science . 2019,第1期

机译：基于人工神经网络的马哈纳迪河流域流量预测
4. Stream Flow Forecasting by Artificial Neural Network and TOPMODEL in Baohe River Basin [C] . Jingwen Xu, Wanchang Zhang, Junfang Zhao Intelligent Information Technology Application Workshops, 2009. IITAW '09 . 2009

机译：基于人工神经网络和TOPMODEL的宝河流域径流预测。
5. Developing an accurate forecasting model for temporal and spatial ambulance demand via artificial neural networks: A comparative study of existing forecasting techniques vs. an artificial neural network. [D] . Setzler, Hubert Holland, III. 2007

机译：通过人工神经网络为时空救护车需求开发准确的预测模型：现有预测技术与人工神经网络的比较研究。
6. Artificial Neural Networks for Forecasting Passenger Flows on Metro Lines [O] . Mariano Gallo, Giuseppina De Luca, Luca D’Acierno, 2019

机译：人工神经网络预测地铁客流
7. 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 [O] . M. K. Akhtar, G. A. Corzo, S. J. van Andel, 2009

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
8. Physical Characteristics of Stream Subbasins in the Upper Wapsipinicon River, Upper Cedar River, Shell Rock River, and Winnebago River Basins, Southern Minnesota and Northern Iowa. [R] . Sanocki, C. A. 2000

机译：上部Wapsipinicon河，上部雪松河，shell Rock河和Winnebago河流域，明尼苏达州南部和爱荷华州北部的河流subbass的物理特征。

Daily stream flow forecasting using artificial neural networks (case study: the upper Bernam River basin)

著录项

相似文献

相关主题

期刊订阅