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在“自然资源管理”中，命中：19条，耗时：小于0.01 秒

1.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

2.Application of NN-ARX Model to Predict Groundwater Levels in the Neishaboor Plain, Iran

作者：A. Izady ; K. Davary ; A. Alizadeh ; A. Moghaddam Nia…

关键词：Groundwater ; NN ; ARX model ; Ward clustering ; Gamma test ; Genetic algorithm ; Iran

刊名：Water Resources Management

年：2013

3.Product-Units neural networks for catchment runoff forecasting

作者：Adam P. Piotrowski ; Jaros?aw J. Napiorkowski

关键词：Catchment runoff forecasting ; Product-Units neural networks ; Evolutionary computation ; Levenberg&ndash ; Marquardt algorithm ; Differential evolution ; Noise injection

刊名：Advances in Water Resources

年：2012

4.Artificial Neural Network Modeling for Groundwater Level Forecasting in a River Island of Eastern India

作者：Sheelabhadra Mohanty ; Madan K. Jha ; Ashwani Kumar and K. P. Sudheer

关键词：Artificial neural network ; Groundwater level prediction ; Backpropagation GDX algorithm ; Lavenberg ; Marquardt algorithm ; Bayesian regularization algorithm ; River island

刊名：Water Resources Management

年：2010

5.An efficient numerical model for hydrodynamic parameterization in 2D fractured dual-porosity media

作者：Hassane Fahs ; Mohamed Hayek ; Marwan Fahs ; Anis Younes

关键词：Dual-porosity media ; Adaptive multiscale parameterization ; Refinement indicator ; Adjoint-state method

刊名：Advances in Water Resources

年：January, 2014

6.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

7.Forecasting of Rainfall Using Time Delay Neural Network in Tizi-Ouzou (Algeria)

作者：Khalida Benmahdjoub ; Zohra Ameur ; Mina Boulifa

关键词：Forecast ; Rainfall ; Neural network ; TDNN

刊名：Energy Procedia

年：2013

8.Hybrid neural modeling for groundwater level prediction

作者：Nikunja B. Dash ; Sudhindra N. Panda ; Renji Remesan and Narayan Sahoo

关键词：Training algorithms ; Prediction ; Genetic algorithm ; ANN ; Winter ; Groundwater ; India

刊名：Neural Computing & Applications

年：2010

9.River suspended sediment estimation by climatic variables implication: Comparative study among soft computing techniques

作者：Ozgur Kisia ; Jalal Shirib ; j_shiri2005@yahoo.com

关键词：Sediment ; Soft computing ; Genetic programming ; Hydro-climatology

刊名：Computers and Geosciences

年：2012

10.A modified Levenberg–Marquardt algorithm for quasi-linear geostatistical inversing

作者：Nowak ; Wolfgang ; Cirpka ; Olaf A.

关键词：Geostatistical inverse modeling ; Conditioning ; Cokriging ; Levenberg ; Marquardt

刊名：Advances in Water Resources

年：2004

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