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Development of advanced artificial intelligence models for daily rainfall prediction 期刊论文
ATMOSPHERIC RESEARCH, 2020, 237
作者:  Binh Thai Pham;  Lu Minh Le;  Tien-Thinh Le;  Kien-Trinh Thi Bui;  Vuong Minh Le;  Hai-Bang Ly;  Prakash, Indra
收藏  |  浏览/下载：13/0  |  提交时间：2020/07/02
Rainfall  Artificial Neural Networks  Robustness analysis  Support Vector Machines  Adaptive Network based Fuzzy Inference System  Particle Swarm Optimization  
Policy implications for achieving the carbon emission reduction target by 2030 in Japan-Analysis based on a bilevel equilibrium model 期刊论文
ENERGY POLICY, 2019, 134
作者:  Xu, Zhongwen;  Yao, Liming;  Liu, Qiaoling;  Long, Yin
收藏  |  浏览/下载：11/0  |  提交时间：2020/02/17
Carbon emission quotas  Zero sum gains-data envelopment analysis  Particle swarm optimization method  Biobjective bilevel equilibrium model  Regional energy policy  
The 19 September 2017 (M(w)7.1) Intermediate-Depth Mexican Earthquake: A Slow and Energetically Inefficient Deadly Shock 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2019, 46 (4) : 2054-2064
作者:  Mirwald, Aron;  Cruz-Atienza, Victor M.;  Diaz-Mojica, John;  Iglesias, Arturo;  Singh, Shri K.;  Villafuerte, Carlos;  Tago, Josue
收藏  |  浏览/下载：4/0  |  提交时间：2019/04/09
19 September 2017  Puebla-Morelos Mexican earthquake  dynamic source inversion  Particle Swarm Optimization method  slow and highly dissipative rupture process  friction-induced melts in fault core  large strong motions in Mexico City  
The Improved Freeze-Thaw Process of a Climate-Vegetation Model: Calibration and Validation Tests in the Source Region of the Yellow River 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2018, 123 (23) : 13346-13367
作者:  Yang, Q.;  Dan, L.;  Wu, J.;  Jiang, R.;  Dan, J.;  Li, W.;  Yang, F.;  Yang, X.;  Xia, L.
收藏  |  浏览/下载：8/0  |  提交时间：2019/04/09
freeze-thaw process  the AVIM model  particle swarm optimization (PSO) method  calibration  validation  source region of the Yellow River