机构

• 地理科学与资源研究... [11]
• 自动化研究所 [11]
• 沈阳自动化研究所 [7]
• 新疆天文台 [3]
• 地质与地球物理研究所 [2]
• 中国科学院大学 [2]
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• OAI收割 [42]
• iSwitch采集 [2]

内容类型

• 期刊论文 [32]
• 会议论文 [7]
• SCI/SSCI论文 [3]
• 学位论文 [2]

发表日期

• 2023 [1]
• 2022 [4]
• 2021 [4]
• 2020 [4]
• 2019 [4]
• 2018 [3]
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学科主题

筛选

浏览/检索结果: 共44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 A multi-dimensional framework for improving flood risk assessment: Application in the Han River Basin, China 期刊论文  OAI收割 JOURNAL OF HYDROLOGY-REGIONAL STUDIES, 2023, 卷号: 47, 页码: 101434 作者:  Yu, Jiarui;  Zou, Lei;  Xia, Jun;  Chen, Xinchi;  Wang, Feiyu   |  收藏  |  浏览/下载：18/0  |  提交时间：2023/09/07 Flood risk assessment  Multi-dimensional flood risk  Integrated weight method  Possibilistic fuzzy C -means algorithm  Han River Basin   A Superpixel Spatial Intuitionistic Fuzzy C-Means Clustering Algorithm for Unsupervised Classification of High Spatial Resolution Remote Sensing Images 期刊论文  OAI收割 REMOTE SENSING, 2022, 卷号: 14, 期号: 14, 页码: 22 作者:  Ji, Xinran;  Huang, Liang;  Tang, Bo-Hui;  Chen, Guokun;  Cheng, Feifei   |  收藏  |  浏览/下载：43/0  |  提交时间：2022/09/21 intuitionistic fuzzy C-means clustering  superpixel  classification  high spatial resolution  remote sensing image   Deep patch learning algorithms with high interpretability for regression problems 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2022, 页码: 38 作者:  Huang, Yunhu;  Chen, Dewang;  Zhao, Wendi;  Lv, Yisheng;  Wang, Shiping   |  收藏  |  浏览/下载：32/0  |  提交时间：2022/07/25 deep learning  deep patch learning fuzzy system  fuzzy C-means clustering  interpretability  maximum information coefficient (MIC)  Pearson's correlation coefficients (PCC)   Three-dimensional gravity inversion based on optimization processing from edge detection 期刊论文  OAI收割 GEODESY AND GEODYNAMICS, 2022, 卷号: 13, 期号: 5, 页码: 503-524 作者:  Liu Sheng;  Jin Shuanggen;  Chen Qiang   |  收藏  |  浏览/下载：5/0  |  提交时间：2023/05/23 Gravity inversion  Locally weighted constraint  Petrophysical constrain  Fuzzy c-means clustering algorithm  OpenAcc technology   Fuzzy C-Means Clustering Based Deep Patch Learning With Improved Interpretability for Classification Problems 期刊论文  OAI收割 IEEE ACCESS, 2022, 卷号: 10, 页码: 49873-49891 作者:  Huang, Yunhu;  Chen, Dewang;  Zhao, Wendi;  Lv, Yisheng   |  收藏  |  浏览/下载：28/0  |  提交时间：2022/07/25 Computational modeling  Training  Microwave integrated circuits  Deep learning  Data models  Artificial neural networks  Training data  Fuzzy c-means (FCM) clustering  maximal information coefficient (MIC)  random input (RI)  deep patch learning classifier  interpretability   FCM-RDpA: TSK fuzzy regression model construction using fuzzy C-means clustering, regularization, Droprule, and Powerball Adabelief 期刊论文  OAI收割 INFORMATION SCIENCES, 2021, 卷号: 574, 页码: 490-504 作者:  Shi, Zhenhua;  Wu, Dongrui;  Guo, Chenfeng;  Zhao, Changming;  Cui, Yuqi   |  收藏  |  浏览/下载：35/0  |  提交时间：2021/11/03 TSK fuzzy system  Mini-batch gradient descent  DropRule  Powerball AdaBelief  Fuzzy c-means clustering   Robust unsupervised small area change detection from SAR imagery using deep learning 期刊论文  OAI收割 ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2021, 卷号: 173, 页码: 79-94 作者:  Zhang, Xinzheng;  Su, Hang;  Zhang, Ce;  Gu, Xiaowei;  Tan, Xiaoheng   |  收藏  |  浏览/下载：26/0  |  提交时间：2021/06/10 Change detection  Synthetic aperture radar  Difference image  Fuzzy c-means algorithm  Deep learning   Robust unsupervised small area change detection from SAR imagery using deep learning 期刊论文  OAI收割 ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2021, 卷号: 173, 页码: 79-94 作者:  Zhang, Xinzheng;  Su, Hang;  Zhang, Ce;  Gu, Xiaowei;  Tan, Xiaoheng   |  收藏  |  浏览/下载：19/0  |  提交时间：2021/06/10 Change detection  Synthetic aperture radar  Difference image  Fuzzy c-means algorithm  Deep learning   Residual-driven Fuzzy C-Means Clustering for Image Segmentation 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 4, 页码: 876-889 作者:  Cong Wang;  Witold Pedrycz;  ZhiWu Li;  MengChu Zhou   |  收藏  |  浏览/下载：13/0  |  提交时间：2021/04/09 Fuzzy C-Means  image segmentation  mixed or unknown noise  residual-driven  weighted regularization   3-D Gravity Anomaly Inversion Based on Improved Guided Fuzzy C-Means Clustering Algorithm 期刊论文  OAI收割 PURE AND APPLIED GEOPHYSICS, 2020, 卷号: 177, 期号: 2, 页码: 1005-1027 作者:  Liu, Sheng;  Jin, Shuanggen   |  收藏  |  浏览/下载：18/0  |  提交时间：2020/04/17 Fuzzy entropy  discrete-valued inversion  gravity inversion  parameter search  fuzzy C-means algorithm