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浏览/检索结果: 共6条，第1-6条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择发表日期升序发表日期降序提交时间升序提交时间降序题名升序题名降序作者升序作者降序 Design and evaluation of SVR, MARS and M5Tree models for 1, 2 and 3-day lead time forecasting of river flow data in a semiarid mountainous catchment 期刊论文 STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2018, 卷号: 32, 期号: 9, 页码: 2457-2476 作者:  Yin, Zhenliang;  Feng, Qi;  Wen, Xiaohu;  Deo, Ravinesh C.;  Yang, Linshan 收藏  |  浏览/下载：59/0  |  提交时间：2019/10/09 River flow forecasting  Support vector regression  Multivariate adaptive regression spline  M5Tree model  Data-driven model   Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia 期刊论文 ADVANCED ENGINEERING INFORMATICS, 2018, 卷号: 35, 页码: 1-16 作者:  Al-Musaylh, Mohanad S.;  Deo, Ravinesh C.;  Adarnowski, Jan F.;  Li, Yan 收藏  |  浏览/下载：46/0  |  提交时间：2019/10/09 Electricity demand forecasting  Machine learning  SVR  MARS  ARIMA   Predicting alien herb invasion with machine learning models: biogeographical and life-history traits both matter 期刊论文 BIOLOGICAL INVASIONS, 2015 Chen, Leiyi; Peng, Shaolin; Yang, Bin 收藏  |  浏览/下载：4/0  |  提交时间：2017/12/03 Risk assessment  Invasiveness  Native range distribution size  Germination rate  Seed weight  WEED RISK-ASSESSMENT  PLANT INVASIVENESS  COMMUNITY INVASIBILITY  AUSTRALIAN ACACIAS  ASSESSMENT SYSTEM  RESIDENCE TIME  SPECIES TRAITS  NORTH-AMERICA  NATIVE RANGE  CHINA   Predicting alien herb invasion with machine learning models: biogeographical and life-history traits both matter 期刊论文 BIOLOGICAL INVASIONS, 2015, 卷号: 17, 期号: 7, 页码: 2187-2198 作者:  Chen, Leiyi;  Peng, Shaolin;  Yang, Bin 收藏  |  浏览/下载：6/0  |  提交时间：2022/09/13 Risk assessment  Invasiveness  Native range distribution size  Germination rate  Seed weight   An efficient integrated approach for global sensitivity analysis of hydrological model parameters SCI/SSCI论文 2013 作者:  Xia J. 收藏  |  浏览/下载：33/0  |  提交时间：2014/12/24 Global sensitivity analysis  Statistical emulator  DTVGM  Response  surface model  RSMSobol' method  adaptive regression splines  environmental-models  mathematical-models  watershed model  swat model  uncertainty  calibration  simulation  dimensionality  identification   Predicting tunnel convergence using Multivariate Adaptive Regression Spline and Artificial Neural Network 期刊论文 TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 2013, 卷号: 38, 页码: 368-376 作者:  Adoko, Amoussou-Coffi;  Jiao, Yu-Yong;  Wu, Li;  Wang, Hao;  Wang, Zi-Hao 收藏  |  浏览/下载：8/0  |  提交时间：2018/06/05 Tunnel convergence  New Austrian Tunneling Method (NATM)  Multivariate Adaptive Regression Spline  Artificial Neural Network  Predictive model