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浏览/检索结果: 共25条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 GIS-based landslide susceptibility mapping in the Longmen Mountain area (China) using three different machine learning algorithms and their comparison 期刊论文  OAI收割 ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 页码: 15 作者:  Huang, Ziyan;  Peng, Li;  Li, Sainan;  Liu, Ying;  Zhou, Shuang   |  收藏  |  浏览/下载：22/0  |  提交时间：2023/10/09 Landslide susceptibility assessment  Random forest model  Frequency ratio method  Support vector machine model  Longmen Mountain area   A methodology to assess the effectiveness of policies for food waste reduction: Application on Chinese policies from 1961 to 2021 期刊论文  OAI收割 RESOURCES CONSERVATION AND RECYCLING, 2023, 卷号: 194, 页码: 106983 作者:  Jiang, Shiyan;  Chen, Hong;  Liu, Xiaojie;  Yang, Shuhan;  Huang, Han   |  收藏  |  浏览/下载：22/0  |  提交时间：2023/08/22 Food waste policy  Policy quantification  Policy power  Policy effectiveness  Latent Dirichlet allocation model  support vector machine   Hyperspectral inversion of soil heavy metals in Three-River Source Region based on random forest model 期刊论文  OAI收割 CATENA, 2021, 卷号: 202, 页码: 10 作者:  Zhou, Wei;  Yang, Han;  Xie, Lijuan;  Li, Haoran;  Huang, Lu   |  收藏  |  浏览/下载：37/0  |  提交时间：2021/07/09 Soil heavy metal  Hyperspectral  Random forest model (RF)  Support vector machine (SVM)  Three-River Source Region   Design of an Intelligent Variable-Flow Recirculating Aquaculture System Based on Machine Learning Methods 期刊论文  OAI收割 APPLIED SCIENCES-BASEL, 2021, 卷号: 11, 期号: 14, 页码: 15 作者:  Chen, Fudi;  Du, Yishuai;  Qiu, Tianlong;  Xu, Zhe;  Zhou, Li   |  收藏  |  浏览/下载：36/0  |  提交时间：2021/08/17 recirculating aquaculture system  variable-flow regulation model  circulating pump-drum filter linkage working technique  machine learning methods  gene algorithm support vector machine   Hyperspectral inversion of soil heavy metals in Three-River Source Region based on random forest model 期刊论文  OAI收割 CATENA, 2021, 卷号: 202, 页码: 10 作者:  Zhou, Wei;  Yang, Han;  Xie, Lijuan;  Li, Haoran;  Huang, Lu   |  收藏  |  浏览/下载：22/0  |  提交时间：2021/07/09 Soil heavy metal  Hyperspectral  Random forest model (RF)  Support vector machine (SVM)  Three-River Source Region   天山区域典型灌区生长季土壤盐分含量时空差异分析 学位论文  OAI收割 北京: 中国科学院大学, 2020 作者:  徐红涛   |  收藏  |  浏览/下载：76/0  |  提交时间：2021/12/10 机器学习  支持向量回归  土壤盐渍化  建模变量和模型参数同步优选  时空变化  Machine learning  Support vector regression  Soil salinization  Simultaneous optimization of feature subset and model parameters  temporal and spatial changes   Linking the Random Forests Model and GIS to Assess Geo-Hazards Risk: A Case Study in Shifang County, China 期刊论文  OAI收割 IEEE ACCESS, 2020, 卷号: 8, 页码: 28033-28042 作者:  Huang Pei;  Peng Li;  Pan Hongyi   |  收藏  |  浏览/下载：36/0  |  提交时间：2020/05/18 Geo-hazards  random forests model  risk assessment  Shifang county  support vector machine model.   A New Approach for Stock Price Analysis and Prediction Based on SSA and SVM 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, 2019, 卷号: 18, 期号: 1, 页码: 287-310 作者:  Xiao, Jihong;  Zhu, Xuehong;  Huang, Chuangxia;  Yang, Xiaoguang;  Wen, Fenghua   |  收藏  |  浏览/下载：64/0  |  提交时间：2019/03/11 Stock price  singular spectrum analysis  support vector machine  combined model   Landslide susceptibility: a statistically-based assessment on a depositional pyroclastic ramp 期刊论文  OAI收割 JOURNAL OF MOUNTAIN SCIENCE, 2019, 卷号: 16, 期号: 3, 页码: 561-580 作者:  Murillo-Garcia, Franny G.;  Steger, Stefan;  Alcantara-Ayala, Irasema   |  收藏  |  浏览/下载：29/0  |  提交时间：2020/11/02 Landslide susceptibility  Pyroclastic ramp  Logistic regression  Generalized Additive Model  Support Vector Machine  Cross validation   Using multi-model ensembles of CMIP5 global climate models to reproduce observed monthly rainfall and temperature with machine learning methods in Australia 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2018, 卷号: 38, 期号: 13, 页码: 4891-4902 作者:  Wang, Bin;  Zheng, Lihong;  Liu, De Li;  Ji, Fei;  Clark, Anthony   |  收藏  |  浏览/下载：50/0  |  提交时间：2019/05/23 GCMs  machine learning  multi-model ensemble  random forest  support vector machine