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Seeing macro-dispersivity from hydraulic conductivity field with convolutional neural network 期刊论文
, 2020, 卷号: 138
作者:  Zhou Z.;  Shi L.;  Zha Y.
收藏  |  浏览/下载：33/0  |  提交时间：2020/07/28
Convolution  Deep learning  Deep neural networks  Groundwater  Groundwater pollution  Hydraulic conductivity  Learning algorithms  Learning systems  Porous materials  Solute transport  Contaminant transport  Convolutional neural work  Groundwater environment  Heterogeneity  Macrodispersivity  Quantitative relations  Spatial heterogeneity  Trained neural networks  Convolutional neural networks  algorithm  artificial neural network  computer simulation  groundwater  heterogeneity  hydraulic conductivity  machine learning  
Northern Hemisphere biome changes (> 30 degrees N) since 40 cal ka BP and their driving factors inferred from model-data comparisons 期刊论文
QUATERNARY SCIENCE REVIEWS, 2019, 卷号: 220
作者:  Cao, Xianyong;  Tian, Fang;  Dallmeyer, Anne;  Herzschuh, Ulrike
收藏  |  浏览/下载：43/0  |  提交时间：2022/06/21
LAST GLACIAL MAXIMUM  GLOBAL VEGETATION MODEL  PLANT MACROFOSSIL DATA  CLIMATE-CHANGE  WATER RELATIONS  POLLEN DATA  QUANTITATIVE RECONSTRUCTIONS  EUROPEAN VEGETATION  ARCTIC ECOSYSTEMS  0 C-14