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1.Characterization of Non-Gaussian Geologic Facies Distribution Using Ensemble Kalman Filter with Probability Weighted Re-Sampling

作者：Siavash Nejadi (1) Juliana Leung (1) Japan Trivedi (1) 1. School of Mining and Petroleum Engineering ; University of Alberta ; Markin/CNRL Natural Resources Engineering Facility ; Edmonton ; AB ; T6G 2W2 ; Canada

关键词：Non ; Gaussian distributions ; Facies characterization ; Dynamic data integration ; History matching ; Ensemble methods ; Re ; sampling techniques

刊名：Mathematical Geosciences

出版者：Springer Berlin Heidelberg

年：2015

2.Evaluating forecasting performance for data assimilation methods: The ensemble Kalman filter, the particle filter, and the evolutionary-based assimilation

作者：Gift Dumedah ; Paulin Coulibaly

关键词：Streamflow forecasting ; Data assimilation ; Evolutionary algorithms ; The ensemble Kalman filter ; The particle filter

刊名：Advances in Water Resources

年：2013

3.Two-point or multiple-point statistics? A comparison between the ensemble Kalman filtering and the ensemble pattern matching inverse methods

作者：Liangping Li ; a ; b ; liangpingli@utexas.edu" class="auth_mail" title="E-mail the corresponding author ; Sanjay Srinivasana ; Haiyan Zhoua ; J. Jaime Gomez-Hernandezc

关键词：Multiple-point statistics ; Rejection sampling ; Conditional simulation ; Ensemble Kalman filter ; Inverse method

刊名：Advances in Water Resources

年：2015

4.NLPCC 2016 Shared Task Chinese Words Similarity Measure via Ensemble Learning Based on Multiple Resources

关键词：Chinese word similarity ; TYCCL ; Hownet ; Deep learning ; Support vector regression

刊名：Lecture Notes in Computer Science

年：2016

5.Iterative ensemble smoothers in the annealed importance sampling framework

作者：Andreas S. Stordal ; a ; Andreas.S.Stordal@iris.no" class="auth_mail" title="E-mail the corresponding author ; Ahmed H. Elsheikhb ; Ahmed.Elsheikh@pet.hw.ac.uk" class="auth_mail" title="E-mail the corresponding author

关键词：Data assimilation ; Iterative ensemble methods ; Annealed importance sampling

刊名：Advances in Water Resources

年：2015

6.Enhanced sampling simulations to construct free-energy landscape of protein–partner substrate interaction

作者：Jinzen Ikebe ; Koji Umezawa ; Junichi Higo

关键词：Molecular dynamics simulation ; Enhanced sampling ; Multicanonical ; Conformational ensemble ; Protein interaction

刊名：Biophysical Reviews

出版者：Springer Berlin / Heidelberg

年：2016

7.Comparison of ensemble-based state and parameter estimation methods for soil moisture data assimilation

作者：Weijing Chena ; b ; Chunlin Huangb ; c ; huangcl@lzb.ac.cn" class="auth_mail" title="E-mail the corresponding author ; Huanfeng Shena ; Xin Lib ; d

关键词：Data assimilation ; Soil moisture ; Brightness temperature ; State-parameter estimation ; Common Land Model

刊名：Advances in Water Resources

年：2015

8.Comparison of Ensemble Kalman Filter groundwater-data assimilation methods based on stochastic moment equations and Monte Carlo simulation

作者：M. Panzeria ; marco.panzeri@polimi.it" class="auth_mail ; M. Rivaa ; b ; A. Guadagninia ; b ; S.P. Neumanb

关键词：Ensemble Kalman Filter ; Random hydraulic conductivity field ; Moment equations ; Data assimilation ; Transient groundwater flow ; Filter inbreeding

刊名：Advances in Water Resources

年：April, 2014

9.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

10.Improvement of Multi-Satellite Real-Time Precipitation Products for Ensemble Streamflow Simulation in a Middle Latitude Basin in South China

作者：Shanhu Jiang (1) Liliang Ren (1) Yang Hong (2) Xiaoli Yang (1) Mingwei Ma (1) Yu Zhang (2) Fei Yuan (1)

关键词：Satellite precipitation ; Error adjustment ; Ensemble streamflow simulation ; Uncertainty analysis ; Hydrological model ; Bayesian model averaging

刊名：Water Resources Management

年：2014

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