CCPortal

浏览/检索结果: 共8条,第1-8条 帮助

已选(0)清除 条数/页:   排序方式:
Prediction of daily river water temperatures using an optimized model based on NARX networks 期刊论文
ECOLOGICAL INDICATORS, 2024, 卷号: 161
作者:  Sun, Jiang;  Di Nunno, Fabio;  Sojka, Mariusz;  Ptak, Mariusz;  Luo, You;  Xu, Renyi;  Xu, Jing;  Luo, Yi;  Zhu, Senlin;  Granata, Francesco
收藏  |  浏览/下载:2/0  |  提交时间:2024/06/11
Prediction of daily river water temperatures using an optimized model based on NARX networks 期刊论文
ECOLOGICAL INDICATORS, 2024, 卷号: 161
收藏  |  浏览/下载:0/0  |  提交时间:2024/06/11
Synergistic Application of Multiple Machine Learning Algorithms and Hyperparameter Optimization Strategies for Net Ecosystem Productivity Prediction in Southeast Asia 期刊论文
REMOTE SENSING, 2024, 卷号: 16, 期号: 1
收藏  |  浏览/下载:0/0  |  提交时间:2024/06/11
Modelling hybrid and backpropagation adaptive neuro-fuzzy inference systems for flood forecasting 期刊论文
Natural Hazards, 2021, 卷号: 108, 期号: 1
作者:  Tabbussum R.;  Dar A.Q.
收藏  |  浏览/下载:20/0  |  提交时间:2021/09/01
Adaptive neuro-fuzzy inference system  Backpropagation learning algorithm  Gaussian membership function  Hybrid learning algorithm  Subtractive clustering  Takagi–Sugeno fuzzy inference system  
Nitrous acid emission from open burning of major crop residues in mainland China 期刊论文
ATMOSPHERIC ENVIRONMENT, 2021, 卷号: 244
作者:  Cui L.;  Li R.;  Fu H.;  Meng Y.;  Zhao Y.;  Li Q.;  Chen J.
收藏  |  浏览/下载:12/0  |  提交时间:2022/01/18
Agricultural residue open burning  Emission factor  Emission inventory  HONO  
Nitrous acid emission from open burning of major crop residues in mainland China 期刊论文
Atmospheric Environment, 2021, 卷号: 244
作者:  Cui L.;  Li R.;  Fu H.;  Meng Y.;  Zhao Y.;  Li Q.;  Chen J.
收藏  |  浏览/下载:42/0  |  提交时间:2020/11/23
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  
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