中文版 | English

在结果中检索

CSpace

浏览/检索结果: 共10条，第1-10条 帮助

已选(0)清除 条数/页：   排序方式：
A Generalized Nesterov's Accelerated Gradient-Incorporated Non-Negative Latent-Factorization-of-Tensors Model for Efficient Representation to Dynamic QoS Data 期刊论文
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2024, 页码: 15
作者:  Chen, Minzhi;  Wang, Renfang;  Qiao, Yan;  Luo, Xin
收藏  |  浏览/下载：28/0  |  提交时间：2024/07/12
Cloud service  dynamic QoS data  high-dimensional and incomplete tensor  non-negative latent-factorization-of-tensors  particle swarm optimization  nesterov's accelerated gradient method  linear bias  adaptive model  
Two-Stream Graph Convolutional Network-Incorporated Latent Feature Analysis 期刊论文
IEEE TRANSACTIONS ON SERVICES COMPUTING, 2023, 卷号: 16, 期号: 4, 页码: 3027-3042
作者:  Bi, Fanghui;  He, Tiantian;  Xie, Yuetong;  Luo, Xin
收藏  |  浏览/下载：37/0  |  提交时间：2023/12/25
Cloud service  data science  graph neural network  high-dimensional and incomplete data  latent factor analysis  latent feature model  missing data estimation  non-euclidean data  representation learning  quality-of-service  
A novel cognitive transformation algorithm based on Gaussian cloud model and its application in image segmentation 期刊论文
NUMERICAL ALGORITHMS, 2017, 卷号: 76, 期号: 4, 页码: 1039-1070
作者:  Xu, Chang-Lin;  Wang, Guo-Yin
Adobe PDF(2263Kb)  |  收藏  |  浏览/下载：116/0  |  提交时间：2018/03/05
Cognitive Transformation  Gaussian Cloud Model  Forward Gaussian Cloud Transformation  Backward Gaussian Cloud Transformation  Mean Squared Error  Image Segmentation  
A novel water quality data analysis framework based on time-series data mining 期刊论文
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2017, 卷号: 196, 页码: 365-375
作者:  Deng, Weihui;  Wang, Guoyin
Adobe PDF(3551Kb)  |  收藏  |  浏览/下载：102/0  |  提交时间：2018/03/05
Time-series data mining  Cloud model  Water quality analysis  Similarity measure  Anomaly detection  Pattern discovery  
Water eutrophication assessment based on rough set and multidimensional cloud model 期刊论文
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2017, 卷号: 164, 页码: 103-112
作者:  Yan, Huyong;  Wu, Di;  Huang, Yu;  Wang, Guoyin;  Shang, Mingsheng;  Xu, Jianjun;  Shi, Xiaoyu;  Shan, Kun;  Zhou, Botian;  Zhao, Yufei
Adobe PDF(2910Kb)  |  收藏  |  浏览/下载：132/0  |  提交时间：2018/03/05
Eutrophication  Rough set  Multidimensional cloud model  
Piecewise two-dimensional normal cloud representation for time-series data mining 期刊论文
INFORMATION SCIENCES, 2016, 卷号: 374, 页码: 32-50
作者:  Deng, Weihui;  Wang, Guoyin;  Xu, Ji
Adobe PDF(2540Kb)  |  收藏  |  浏览/下载：129/0  |  提交时间：2018/03/15
Two-dimensional Normal Cloud  Representation  Dimensionality Reduction  Similarity Measure  Cloud Model  Time-series Data Mining  
A novel hybrid water quality time series prediction method based on cloud model and fuzzy forecasting 期刊论文
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2015, 卷号: 149, 页码: 39-49
作者:  Deng, Weihui;  Wang, Guoyin;  Zhang, Xuerui
Adobe PDF(2034Kb)  |  收藏  |  浏览/下载：121/0  |  提交时间：2018/03/15
Water Quality Time Series Prediction  Cloud Model  Fuzzy Time Series  Approximate Periodicity  
Generic normal cloud model 期刊论文
INFORMATION SCIENCES, 2014, 卷号: 280, 页码: 1-15
作者:  Wang, Guoyin;  Xu, Changlin;  Li, Deyi
Adobe PDF(1819Kb)  |  收藏  |  浏览/下载：507/0  |  提交时间：2018/03/15
Computational Cognition  Cloud Model  Generic Forward Cloud Transformation  Generic Backward Cloud Transformation  
A New Multi-Step Backward Cloud Transformation Algorithm Based on Normal Cloud Model 期刊论文
FUNDAMENTA INFORMATICAE, 2014, 卷号: 133, 期号: 1, 页码: 55-85
作者:  Xu, Changlin;  Wang, Guoyin;  Zhang, Qinghua
Adobe PDF(1008Kb)  |  收藏  |  浏览/下载：88/0  |  提交时间：2018/03/15
Concept expression  Cognitive transformation  Normal cloud model  Backward cloud transformation  Mean squared error  
Granular Computing Based on Gaussian Cloud Transformation 期刊论文
FUNDAMENTA INFORMATICAE, 2013, 卷号: 127, 期号: 1-4, 页码: 385-398
作者:  Liu, Yuchao;  Li, Deyi;  He, Wen;  Wang, Guoyin
Adobe PDF(3066Kb)  |  收藏  |  浏览/下载：86/0  |  提交时间：2018/03/14
Granular computing  Gaussian Mixture Model  Gaussian Cloud Model  Data clustering  Image segmentation