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在“自然资源管理”中，命中：273条，耗时：小于0.01 秒

1.Drought Forecasting Using Neural Networks, Wavelet Neural Networks, and Stochastic Models: Case of the Algerois Basin in North Algeria

作者：Salim Djerbouai ; Doudja Souag-Gamane

关键词：Algerois catchment ; ARIMA ; Drought ; Forecasting ; Neural networks ; SPI ; Wavelet transforms

刊名：Water Resources Management

出版者：Springer Netherlands

年：2016

2.Solar Photovoltaic Energy Production Forecast Using Neural Networks

作者：Cristian-Dragos Dumitru ; cristian.dumitru@ing.upm.ro" class="auth_mail" title="E-mail the corresponding author ; Adrian Gligor ; Calin Enachescu

关键词：renewable energy ; solar photovoltaic energy ; energy management ; energy forecast ; time-series data ; neural networks ; backpropagation.

刊名：Procedia Technology

年：2016

3.Reservoir Inflow Forecasting Using Ensemble Models Based on Neural Networks, Wavelet Analysis and Bootstrap Method

作者：Sanjeet Kumar ; Mukesh Kumar Tiwari ; Chandranath Chatterjee…

关键词：Reservoir inflow ; Neural networks ; Wavelet analysis ; Forecasting ; Damodar catchment

刊名：Water Resources Management

出版者：Springer Netherlands

年：2015

4.Neural networks for karst groundwater management: case of the Lez spring (Southern France)

作者：Line Kong-A-Siou ; Anne Johannet ; Valérie Borrell Estupina…

关键词：Neural networks ; Forecasting ; Water table ; Karst aquifer ; Water resource

刊名：Environmental Earth Sciences

出版者：Springer Berlin Heidelberg

年：2015

5.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

6.A Comparative Study of Artificial Neural Networks, Support Vector Machines and Adaptive Neuro Fuzzy Inference System for Forecasting Groundwater Levels near Lake Okeechobee, Florida

作者：Yicheng Gong ; Yongxiang Zhang ; Shuangshuang Lan ; Huan Wang

关键词：Groundwater level ; Artificial neural network ; Support vector machine ; Adaptive neuro fuzzy inference system

刊名：Water Resources Management

出版者：Springer Netherlands

年：2016

7.Comparative Study of Artificial Neural Networks and Wavelet Artificial Neural Networks for Groundwater Depth Data Forecasting with Various Curve Fractal Dimensions

作者：Zhenfang He (1) (2) (3) Yaonan Zhang (1) Qingchun Guo (3) (4) Xueru Zhao (1) (5)

关键词：Artificial neural network ; Wavelet artificial neural network ; Groundwater depth ; Training algorithms ; Mallat decomposition algorithm ; Fractal dimension

刊名：Water Resources Management

年：2014

8.Are Evolutionary Algorithms Effective in Calibrating Different Artificial Neural Network Types for Streamwater Temperature Prediction?

作者：Adam P. Piotrowski ; Maciej J. Napiorkowski ; Monika Kalinowska…

关键词：Streamwater temperature prediction ; Temperate climate zone ; Artificial neural network ; Differential evolution ; Particle swarm optimization ; Genetic algorithm

刊名：Water Resources Management

出版者：Springer Netherlands

年：2016

9.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

10.A Management Analysis Tool for Emancipated and Public Irrigation Areas Using Neural Networks

作者：Fabrício Mota Gon?alves ; Renato Silvio da Frota Ribeiro…

关键词：Multivariate discriminant analysis ; Neural networks ; Irrigation transfer management ; Performance indicators ; Evaluation model

刊名：Water Resources Management

出版者：Springer Netherlands

年：2015

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