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| State of the Climate in 2019 科技报告
, 2020
作者: [unavailable]
 Adobe PDF(46553Kb) |  收藏 | 浏览/下载：15/1 | 提交时间：2021/11/24 |
| Inventory of U.S. Greenhouse Gas Emissions and Sinks-1990-2018 科技报告
, 2020
作者: [unavailable]
Adobe PDF(14023Kb) | 收藏 | 浏览/下载：15/0 | 提交时间：2021/11/24 |
| Stability prediction of Himalayan residual soil slope using artificial neural network 期刊论文
Natural Hazards, 2020, 卷号: 103, 期号: 3
作者: Ray A.; Kumar V.; Kumar A.; Rai R.; Khandelwal M.; Singh T.N.
 收藏 | 浏览/下载：22/0 | 提交时间：2021/09/01
Artificial neural network Machine learning Residual soil Slope stability |
| Researching significant earthquakes in Taiwan using two back-propagation neural network models 期刊论文
Natural Hazards, 2020, 卷号: 103, 期号: 3
作者: Lin J.-W.
收藏 | 浏览/下载：15/0 | 提交时间：2021/09/01
Active probability BPNN model (PBNNM) Back-propagation neural networks (BPNNs) Chi-Chi earthquake Earthquake catalog Embedded earthquake Richter magnitude (ML) prediction BPNN model (EEMPBPNN) Exceedance probability Hualien earthquake Meishan earthquake Recurrence time |
| Mapping the susceptibility to landslides based on the deep belief network: a case study in Sichuan Province, China 期刊论文
Natural Hazards, 2020, 卷号: 103, 期号: 3
作者: Wang W.; He Z.; Han Z.; Li Y.; Dou J.; Huang J.
收藏 | 浏览/下载：13/0 | 提交时间：2021/09/01
Deep belief network Deep learning Landslides mapping Sichuan area Susceptibility |
| Comparison of GA-BP and PSO-BP neural network models with initial BP model for rainfall-induced landslides risk assessment in regional scale: a case study in Sichuan, China 期刊论文
Natural Hazards, 2020, 卷号: 100, 期号: 1
作者: Zhu C.; Zhang J.; Liu Y.; Ma D.; Li M.; Xiang B.
收藏 | 浏览/下载：38/0 | 提交时间：2021/09/01
Artificial neural networks Genetic algorithm GIS Landslide risk analysis Particle swarm optimization |
| Estimating hourly and continuous ground-level PM2.5 concentrations using an ensemble learning algorithm: The ST-stacking model 期刊论文
ATMOSPHERIC ENVIRONMENT, 2020, 卷号: 223
作者: Feng L.; Li Y.; Wang Y.; Du Q.
收藏 | 浏览/下载：11/0 | 提交时间：2022/01/18
China Hourly PM2.5 concentration PM2.5 mapping Spatiotemporal fusion Stacking strategy |
| Reconstructing the historical patterns of forest stand based on CA-AdaBoost-ANN model 期刊论文
Forest Ecology and Management, 2020, 卷号: 478
作者: Zhan X.; Yu S.
收藏 | 浏览/下载：2/0 | 提交时间：2020/12/08 |
| Estimating hourly and continuous ground-level PM2.5 concentrations using an ensemble learning algorithm: The ST-stacking model 期刊论文
Atmospheric Environment, 2020
作者: Feng L.; Li Y.; Wang Y.; Du Q.
收藏 | 浏览/下载：11/0 | 提交时间：2020/03/12 |
| Deep learning-based air temperature mapping by fusing remote sensing, station, simulation and socioeconomic data 期刊论文
Remote Sensing of Environment, 2020, 卷号: 240
作者: Shen H.; Jiang Y.; Li T.; Cheng Q.; Zeng C.; Zhang L.
收藏 | 浏览/下载：0/0 | 提交时间：2021/05/24 |
