机构

• 自动化研究所 [4]
• 地理科学与资源研究所 [3]
• 生态环境研究中心 [2]
• 力学研究所 [1]
• 成都山地灾害与环境研... [1]
• 长春光学精密机械与物... [1]
• 更多

采集方式

• OAI收割 [17]

内容类型

• 期刊论文 [16]
• 会议论文 [1]

发表日期

• 2025 [2]
• 2024 [1]
• 2023 [2]
• 2022 [4]
• 2021 [2]
• 2020 [2]
• 更多

学科主题

筛选

浏览/检索结果: 共17条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择作者升序作者降序发表日期升序发表日期降序题名升序题名降序提交时间升序提交时间降序 Shapley values reveal geomorphic controls on exposed bedrock-gravel differentiation 期刊论文  OAI收割 GEODERMA, 2025, 卷号: 462, 页码: 16 作者:  Zhang, Xin;  Fan, Jianrong;  Huang, Xinglong   |  收藏  |  浏览/下载：1/0  |  提交时间：2025/11/12 Topography  Remote sensing  Classification modeling  Spatial analysis  Digital soil mapping  Feature importance   A framework for learning symbolic turbulence models from indirect observation data via neural networks and feature importance analysis 期刊论文  OAI收割 JOURNAL OF COMPUTATIONAL PHYSICS, 2025, 卷号: 537, 页码: 22 作者:  Wu CT(吴楚畋);  Zhang XL(张鑫磊);  Xu D(徐多);  He GW(何国威)   |  收藏  |  浏览/下载：14/0  |  提交时间：2025/08/18 Turbulence model  Ensemble Kalman method  Symbolic regression  Feature importance analysis  Neural networks   A New Robust Lunar Landing Selection Method Using the Bayesian Optimization of Extreme Gradient Boosting Model (BO-XGBoost) 期刊论文  OAI收割 Remote Sensing, 2024, 卷号: 16, 期号: 19 作者:  Shibo Wen;  Yongzhi Wang;  Qizhou Gong;  Jianzhong Liu;  Xiaoxi Kang   |  收藏  |  浏览/下载：1/0  |  提交时间：2025/12/11 Moon  Landing Site Prediction  Feature Importance  Xgboost  Bayesian Optimization   Examining the Spatially Varying Relationships between Landslide Susceptibility and Conditioning Factors Using a Geographical Random Forest Approach: A Case Study in Liangshan, China 期刊论文  OAI收割 REMOTE SENSING, 2023, 卷号: 15, 期号: 6, 页码: 1513 作者:  Dai, Xiaoliang;  Zhu, Yunqiang;  Sun, Kai   |  收藏  |  浏览/下载：46/0  |  提交时间：2023/05/06 landslide susceptibility  geographical random forest  spatial heterogeneity  local feature importance  spatial cross validation   Performance prediction of disc and doughnut extraction columns using bayes optimization algorithm-based machine learning models 期刊论文  OAI收割 CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION, 2023, 卷号: 183, 页码: 11 作者:  Su, Zhenning;  Wang, Yong;  Tan, Boren;  Cheng, Quanzhong;  Duan, Xiaofei   |  收藏  |  浏览/下载：2/0  |  提交时间：2023/05/19 Pulsed disk and doughnut column  Machine learning  Modeling  Feature importance   Rice Yield Prediction and Model Interpretation Based on Satellite and Climatic Indicators Using a Transformer Method 期刊论文  OAI收割 REMOTE SENSING, 2022, 卷号: 14, 期号: 19, 页码: 21 作者:  Liu, Yuanyuan;  Wang, Shaoqiang;  Chen, Jinghua;  Chen, Bin;  Wang, Xiaobo   |  收藏  |  浏览/下载：68/0  |  提交时间：2022/11/09 crop yield prediction  remote sensing  deep learning  feature importance  attention   Rice Yield Prediction and Model Interpretation Based on Satellite and Climatic Indicators Using a Transformer Method 期刊论文  OAI收割 REMOTE SENSING, 2022, 卷号: 14, 期号: 19, 页码: 21 作者:  Liu, Yuanyuan;  Wang, Shaoqiang;  Chen, Jinghua;  Chen, Bin;  Wang, Xiaobo   |  收藏  |  浏览/下载：60/0  |  提交时间：2022/11/09 crop yield prediction  remote sensing  deep learning  feature importance  attention   Rice Yield Prediction and Model Interpretation Based on Satellite and Climatic Indicators Using a Transformer Method 期刊论文  OAI收割 REMOTE SENSING, 2022, 卷号: 14, 期号: 19, 页码: 21 作者:  Liu, Yuanyuan;  Wang, Shaoqiang;  Chen, Jinghua;  Chen, Bin;  Wang, Xiaobo   |  收藏  |  浏览/下载：65/0  |  提交时间：2022/11/14 crop yield prediction  remote sensing  deep learning  feature importance  attention   Application of Multi-Source Data for Mapping Plantation Based on Random Forest Algorithm in North China 期刊论文  OAI收割 REMOTE SENSING, 2022, 卷号: 14, 期号: 19, 页码: 4946-1-19 作者:  Wu, Fan;  Ren, Yufen;  Wang, Xiaoke   |  收藏  |  浏览/下载：46/0  |  提交时间：2023/02/02 plantation  forest classification  random forest  feature importance  multi-source data   Profiles, spatial distributions and inventory of brominated dioxin and furan emissions from secondary nonferrous smelting industries in China 期刊论文  OAI收割 JOURNAL OF HAZARDOUS MATERIALS, 2021, 卷号: 55, 期号: 19, 页码: 12741-12754 作者:  Yang, Yuanping;  Zheng, Minghui;  Yang, Lili;  Jin, Rong;  Li, Cui   |  收藏  |  浏览/下载：53/0  |  提交时间：2022/01/04 applicability domain  artificial intelligence  best practices  feature importance  machine learning modeling  model applications  model interpretation  predictive modeling