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在“自然资源管理”中，命中：100条，耗时：小于0.01 秒

1.A review on performance of artificial intelligence and conventional method in mitigating PV grid-tied related power quality events

作者：Ken Weng Kowa ; Yee Wan Wonga ; kecx4kkg@exmail.nottingham.edu.my" class="auth_mail" title="E-mail the corresponding author ; Rajparthiban Kumar Rajkumarb ; Rajprasad Kumar Rajkumara

关键词：PV Grid Tied System ; Power quality ; Mitigation ; Artificial intelligence ; High penetration

刊名：Renewable and Sustainable Energy Reviews

年：2016

2.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

3.Irrigation Demand Forecasting Using Artificial Neuro-Genetic Networks

作者：R. González Perea ; E. Camacho Poyato ; P. Montesinos…

关键词：Optimal forecasting models ; Artificial intelligence ; Seasonal model update ; Evolutionary robotics

刊名：Water Resources Management

出版者：Springer Netherlands

年：2015

4.Modeling of soil exchangeable sodium percentage using easily obtained indices and artificial intelligence-based models

作者：Ali Keshavarzi ; Ali Bagherzadeh…

刊名：Modeling Earth Systems and Environment

出版者：Springer International Publishing

年：2016

5.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

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.Collaboratively built semi-structured content and Artificial Intelligence: The story so far

作者：Eduard Hovya ; hovy@isi.edu ; Roberto Naviglib ; navigli@di.uniroma1.it ; Simone Paolo Ponzettob ; ponzetto@di.uniroma1.it

关键词：Knowledge acquisition ; Semantic networks ; Knowledge-rich methods

刊名：Artificial Intelligence

年：2013

8.Estimation of the Change in Lake Water Level by Artificial Intelligence Methods

作者：Meral Buyukyildiz ; Gulay Tezel ; Volkan Yilmaz

关键词：Adaptive network ; based fuzzy inference system ; Artificial neural networks ; Lake Beysehir ; Particle swarm optimization ; Support vector regression ; Water level

刊名：Water Resources Management

年：2014

9.Modeling of nitrate concentration in groundwater using artificial intelligence approach? case study of Gaza coastal aquifer

作者：Jawad S. Alagha (1) Md Azlin Md Said (1) Yunes Mogheir (2)

关键词：Artificial neural networks (ANNs) ; Clustering ; Gaza coastal aquifer (GCA) ; Land use ; Support vector machine (SVM)

刊名：Environmental Monitoring and Assessment

年：2014

10.Modelling Energy Dissipation Over Stepped-gabion Weirs by Artificial Intelligence

作者：Rahman Khatibi (1) Farzin Salmasi (2) Mohammad Ali Ghorbani (2) Hakimeh Asadi (2)

关键词：Stepped ; gabion weir ; Energy dissipation ; Artificial intelligence ; Nappe ; Skimming and transition regimes

刊名：Water Resources Management

年：2014

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