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在“自然资源管理”中，命中：60条，耗时：0.0119953 秒

1.Urban Residential Water Demand Prediction Based on Artificial Neural Networks and Time Series Models

作者：Muhammad A. Al-Zahrani ; Amin Abo-Monasar

关键词：Water demand ; Artificial neural networks ; Time series ; Climatic variables ; Saudi Arabia

刊名：Water Resources Management

出版者：Springer Netherlands

年：2015

2.Turbidity Prediction in a River Basin by Using Artificial Neural Networks: A Case Study in Northern Spain

作者：C. Iglesias (1) J. Martínez Torres (2) P. J. García Nieto (3) J. R. Alonso Fernández (4) C. Díaz Mu?iz (4) J. I. Pi?eiro (1) J. Taboada (1)

关键词：Artificial neural networks (ANNs) ; Water quality monitoring ; Water Framework Directive (WFD) ; Water pollution

刊名：Water Resources Management

年：2014

3.Suitability of ANN-Based Daily Streamflow Extension Models: a Case Study of Gaoping River Basin, Taiwan

作者：Jenq-Tzong Shiau ; Hui-Ting Hsu

关键词：Data extension ; Artificial neural networks ; Performance criteria ; Multi ; criteria decision ; making

刊名：Water Resources Management

出版者：Springer Netherlands

年：2016

4.A New Approach for Modeling Sediment-Discharge Relationship: Local Weighted Linear Regression

作者：Ozgur Kisi ; Coskun Ozkan

关键词：Suspended sediment modeling ; Local weighted linear regression ; Least square support vector machine ; Neural networks ; Rating curve

刊名：Water Resources Management

出版者：Springer Netherlands

年：2017

5.Drought Forecasting using Markov Chain Model and Artificial Neural Networks

作者：Mehdi Rezaeianzadeh ; Alfred Stein ; Jonathan Peter Cox

关键词：Reservoir inflow ; Markov chain ; Data ; driven models ; Drought forecasting ; Reservoir operation ; ANN

刊名：Water Resources Management

出版者：Springer Netherlands

年：2016

6.Introducing an operational method to forecast long-term regional drought based on the application of artificial intelligence capabilities

作者：Mohammad Reza Kousari ; Mitra Esmaeilzadeh Hosseini…

刊名：Theoretical and Applied Climatology

出版者：Springer Vienna

年：2017

7.Prediction of Ground Water Levels in the Uplands of a Tropical Coastal Riparian Wetland using Artificial Neural Networks

作者：L. Karthikeyan (1) (2) D. Nagesh Kumar (1) Didier Graillot (3) Shishir Gaur (3)

关键词：Ground water levels ; Rainfall ; Stream flow ; Artificial Neural Networks ; Prediction ; Algorithms

刊名：Water Resources Management

年：2013

8.Modelling Intelligent Water Resources Allocation for Multi-users

作者：Fi-John Chang ; Yu-Chung Wang ; Wen-Ping Tsai

关键词：Water allocation ; Multi ; objective reservoir operation ; Artificial neural network (ANN) ; Non ; dominated sorting genetic algorithm ; II (NSGA ; II) ; Back ; propagation neural network (BPNN) ; Adaptive network fuzzy inference system (ANFIS)

刊名：Water Resources Management

出版者：Springer Netherlands

年：2016

9.Implementation of Artificial Neural Networks in Modeling the Water-Air Temperature Relationship of the River Drava

作者：Marijana Hadzima-Nyarko (1) Anamarija Rabi (1) Marija ?perac (1)

关键词：Mathematical modeling ; Analysis of relationship between air and water temperature ; Artificial neural networks

刊名：Water Resources Management

年：2014

10.Cprecip parameter for checking snow entry for forecasting weekly discharge of the Haraz River flow by artificial neural network

作者：M. Gouran Orimi ; A. Farid ; R. Amiri ; K. Imani

关键词：weekly discharge prediction ; snow ; cumulative precipitation parameters (Cprecip) ; Artificial Neural Network ; Haraz River

刊名：Water Resources

出版者：MAIK Nauka/Interperiodica distributed exclusively by Springer Science Business Media LLC.

年：2015

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