CCPortal

浏览/检索结果: 共11条,第1-10条 帮助

已选(0)清除 条数/页:   排序方式:
Quantification of the concrete freeze-thaw environment across the Qinghai-Tibet Plateau based on machine learning algorithms 期刊论文
JOURNAL OF MOUNTAIN SCIENCE, 2024, 卷号: 21, 期号: 1
作者:  Qin, Yanhui;  Ma, Haoyuan;  Zhang, Lele;  Yin, Jinshuai;  Zheng, Xionghui;  Li, Shuo
收藏  |  浏览/下载:9/0  |  提交时间:2024/03/01
Freeze-thaw cycles  Quantification  Machine learning algorithms  Qinghai-Tibet Plateau  Concrete  
Key predisposing factors and susceptibility assessment of landslides along the Yunnan-Tibet traffic corridor, Tibetan plateau: Comparison with the LR, RF, NB, and MLP techniques 期刊论文
FRONTIERS IN EARTH SCIENCE, 2023, 卷号: 10
作者:  Wang, Sen;  Ling, Sixiang;  Wu, Xiyong;  Wen, Hong;  Huang, Junpeng;  Wang, Feng;  Sun, Chunwei
收藏  |  浏览/下载:1/0  |  提交时间:2024/03/01
landslide susceptibility  machine learning algorithms  variable importance  three rivers region  yunnan-tibet traffic corridor  
A data-driven approach to generate past GRACE-like terrestrial water storage solution by calibrating the land surface model simulations 期刊论文
, 2020, 卷号: 143
作者:  Jing W.;  Di L.;  Zhao X.;  Yao L.;  Xia X.;  Liu Y.;  Yang J.;  Li Y.;  Zhou C.
收藏  |  浏览/下载:31/0  |  提交时间:2020/07/28
Decision trees  Digital storage  Evapotranspiration  Geodetic satellites  Groundwater  Learning systems  Soil moisture  Surface measurement  Water conservation  Water supply  Data-driven approach  Ensemble learning algorithm  Gravity recovery and climate experiment satellites  Groundwater storage  Land surface modeling  Machine learning models  Terrestrial water storage  Variable importances  Learning algorithms  
Combining statistical machine learning models with ARIMA for water level forecasting: The case of the Red river 期刊论文
, 2020, 卷号: 142
作者:  Phan T.-T.-H.;  Nguyen X.H.
收藏  |  浏览/下载:17/0  |  提交时间:2020/07/28
Autoregressive moving average model  Cost effectiveness  Disaster prevention  Forecasting  Learning algorithms  Water levels  Water resources  Auto-regressive integrated moving average  Computational time  Cost-effective solutions  Linear and nonlinear models  Physically based models  Statistical machine learning  Time series forecasting  Water level forecasting  Machine learning  data set  flood forecasting  forecasting method  hydrological modeling  machine learning  numerical model  performance assessment  river water  water level  Hanoi  Red River [Asia]  Viet Nam  
Generating high-resolution daily soil moisture by using spatial downscaling techniques: a comparison of six machine learning algorithms 期刊论文
, 2020, 卷号: 141
作者:  Liu Y.;  Jing W.;  Wang Q.;  Xia X.
收藏  |  浏览/下载:28/0  |  提交时间:2020/07/28
Decision trees  Land surface temperature  Learning systems  Nearest neighbor search  Neural networks  Object oriented programming  Soil moisture  Support vector machines  Support vector regression  Surveying  Topography  Vegetation  Classification and regression tree  Correlation coefficient  Digital elevation model  Geographic coordinates  High spatial resolution  K nearest neighbor (KNN)  Machine learning techniques  Normalized difference vegetation index  Learning algorithms  algorithm  comparative study  correlation  data set  digital elevation model  downscaling  machine learning  NDVI  soil moisture  spatial analysis  surface temperature  Australia  China  North America  Qinghai-Xizang Plateau  Spain  
A genetic programming-based model for drag coefficient of emergent vegetation in open channel flows 期刊论文
, 2020, 卷号: 140
作者:  Liu M.-Y.;  Huai W.-X.;  Yang Z.-H.;  Zeng Y.-H.
收藏  |  浏览/下载:19/0  |  提交时间:2020/07/28
Banks (bodies of water)  Circular cylinders  Drag  Drag coefficient  Genetic algorithms  Genetic programming  Reynolds number  Vegetation  Aquatic environments  Blockage ratio  Derived formulae  Emergent vegetation  Ergun equation  Hydrodynamic process  Natural selection  Vegetation density  Open channel flow  drag coefficient  hydrodynamics  machine learning  modeling  open channel flow  vegetation  
Prediction of droughts over Pakistan using machine learning algorithms 期刊论文
, 2020, 卷号: 139
作者:  Khan N.;  Sachindra D.A.;  Shahid S.;  Ahmed K.;  Shiru M.S.;  Nawaz N.
收藏  |  浏览/下载:29/0  |  提交时间:2020/07/28
Atmospheric humidity  Climate change  Drought  Forecasting  Learning algorithms  Nearest neighbor search  Neural networks  Support vector machines  Wind  Atmospheric research  K nearest neighbours (k-NN)  K-nearest neighbours  National centres for environmental predictions  Pakistan  Recursive feature elimination  Temporal and spatial  Vulnerable communities  Learning systems  algorithm  artificial neural network  climate prediction  drought  machine learning  numerical model  precipitation (climatology)  Arabian Sea  Caspian Sea  Indian Ocean  Pakistan  
Identifying groundwater contaminant sources based on a KELM surrogate model together with four heuristic optimization algorithms 期刊论文
, 2020, 卷号: 138
作者:  Zhao Y.;  Qu R.;  Xing Z.;  Lu W.
收藏  |  浏览/下载:12/0  |  提交时间:2020/07/28
Contamination  Efficiency  Genetic algorithms  Groundwater  Groundwater pollution  Heuristic algorithms  Knowledge acquisition  Learning algorithms  Machine learning  Modular robots  Particle swarm optimization (PSO)  Quantum computers  Contaminant concentrations  Contaminant sources  Extreme learning machine  Groundwater contaminants  Heuristic optimization algorithms  Heuristic search algorithms  Source characteristics  Traditional genetic algorithms  Computational efficiency  accuracy assessment  genetic algorithm  groundwater pollution  identification method  machine learning  optimization  reliability analysis  surrogate method  
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:27/0  |  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  
A Bayesian network model for prediction and analysis of possible forest fire causes 期刊论文
, 2020, 卷号: 457
作者:  Sevinc V.;  Kucuk O.;  Goltas M.
收藏  |  浏览/下载:13/0  |  提交时间:2020/07/28
Deforestation  Fire hazards  Fires  Forecasting  Learning algorithms  Roads and streets  Sensitivity analysis  Timber  Wind  Agricultural land  Bayesian network models  Different sizes  Forest fires  Interactive relation  Lightning strikes  Prediction and analysis  Structural learning  Bayesian networks  algorithm  Bayesian analysis  biomass burning  forest fire  machine learning  numerical model  prediction  sensitivity analysis  Area  Deforestation  Distance  Forecasts  Forest Fires  Temperature  Wind  Mugla  Turkey