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Exploratory Adversarial Attacks on Graph Neural Networks for Semi-Supervised Node Classification 期刊论文
PATTERN RECOGNITION, 2023, 卷号: 133, 页码: 12
作者:  Lin, Xixun;  Zhou, Chuan;  Wu, Jia;  Yang, Hong;  Wang, Haibo;  Cao, Yanan;  Wang, Bin
收藏  |  浏览/下载：133/0  |  提交时间：2023/02/07
Gradient -based attacks  Maximal gradient  Graph neural networks  Semi-supervised node classification  
VPNets: Volume-preserving neural networks for learning source-free dynamics 期刊论文
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2022, 卷号: 416, 页码: 12
作者:  Zhu, Aiqing;  Zhu, Beibei;  Zhang, Jiawei;  Tang, Yifa;  Liu, Jian
收藏  |  浏览/下载：64/0  |  提交时间：2023/02/07
Deep learning  Neural networks  Discovery of dynamics  Source-free dynamics  Volume-preserving  
Foreign Trade Survey Data: Do They Help in Forecasting Exports and Imports? 期刊论文
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2022, 页码: 24
作者:  Bai Yun;  Wang Shouyang;  Zhang Xun
收藏  |  浏览/下载：61/0  |  提交时间：2023/02/07
ARIMAX  artificial neural network  composite index  forecasting  foreign trade  Granger causality test  survey data  
Ensemble wavelet-learning approach for predicting the effective mechanical properties of concrete composite materials 期刊论文
COMPUTATIONAL MECHANICS, 2022, 页码: 31
作者:  Linghu, Jiale;  Dong, Hao;  Cui, Junzhi
收藏  |  浏览/下载：93/0  |  提交时间：2022/06/21
Concrete composite materials  Weibull distribution  Equivalent mechanical parameters  Artificial neural networks  Wavelet transform  
Model-Free Reinforcement Learning by Embedding an Auxiliary System for Optimal Control of Nonlinear Systems 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 4, 页码: 1520-1534
作者:  Xu, Zhenhui;  Shen, Tielong;  Cheng, Daizhan
收藏  |  浏览/下载：86/0  |  提交时间：2022/06/21
Mathematical model  Trajectory  Heuristic algorithms  Optimal control  System dynamics  Artificial neural networks  Convergence  Approximate optimal control design  auxiliary trajectory  completely model-free  integral reinforcement learning (IRL)  
Static or dynamic? Characterize and forecast the evolution of urban crime distribution 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2022, 卷号: 190, 页码: 16
作者:  Zhu, Qing;  Zhang, Fan;  Liu, Shan;  Wang, Lin;  Wang, Shouyang
收藏  |  浏览/下载：114/0  |  提交时间：2022/04/02
Urban crime  Spatiotemporal framework  Crime distribution  Graph neural network  
A Comprehensive Survey on Community Detection With Deep Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 21
作者:  Su, Xing;  Xue, Shan;  Liu, Fanzhen;  Wu, Jia;  Yang, Jian;  Zhou, Chuan;  Hu, Wenbin;  Paris, Cecile;  Nepal, Surya;  Jin, Di;  Sheng, Quan Z.;  Yu, Philip S.
收藏  |  浏览/下载：147/0  |  提交时间：2022/04/29
Deep learning  Taxonomy  Optimization  Partitioning algorithms  Clustering algorithms  Social networking (online)  Peer-to-peer computing  Community detection  deep learning  graph neural network  network representation  social networks  
Artificial bee colony-based combination approach to forecasting agricultural commodity prices 期刊论文
INTERNATIONAL JOURNAL OF FORECASTING, 2022, 卷号: 38, 期号: 1, 页码: 21-34
作者:  Wang, Jue;  Wang, Zhen;  Li, Xiang;  Zhou, Hao
收藏  |  浏览/下载：124/0  |  提交时间：2022/04/02
Agricultural commodity price  Forecast combination  Semi-heterogeneous combination  Artificial bee colony algorithm  Denoising technique  
An Implicit Function-Based Adaptive Control Scheme for Noncanonical-Form Discrete-Time Neural-Network Systems 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 卷号: 51, 期号: 12, 页码: 5728-5739
作者:  Zhang, Yanjun;  Tao, Gang;  Chen, Mou;  Chen, Wen;  Zhang, Zhengqiang
收藏  |  浏览/下载：138/0  |  提交时间：2022/04/02
Adaptive control  Uncertainty  Nonlinear systems  Adaptation models  Asymptotic stability  Stability analysis  Adaptive control  asymptotic output tracking  discrete time (DT)  implicit function  noncanonical form  
Forecasting hourly PM2.5 based on deep temporal convolutional neural network and decomposition method 期刊论文
APPLIED SOFT COMPUTING, 2021, 卷号: 113, 页码: 15
作者:  Jiang, Fuxin;  Zhang, Chengyuan;  Sun, Shaolong;  Sun, Jingyun
收藏  |  浏览/下载：117/0  |  提交时间：2022/04/29
PM2.5 concentration forecasting  Complete ensemble empirical mode  decomposition with adaptive noise  Temporal convolutional  Data patterns  Deep learning