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2020 – today
- 2025
[j142]Aijun Yan
, Kaicheng Hu, Dianhui Wang, Jian Tang:
Robust multi-target regression with improved stochastic configuration networks and its applications. Inf. Sci. 689: 121480 (2025)- [j141]Jianjiao Ji, Dianhui Wang:
Evolutionary stochastic configuration networks for industrial data analytics. Inf. Sci. 690: 121546 (2025) - 2024
- [j140]Yongfu Wang, Yan Liu, Jinliang Ding, Dianhui Wang:
Adaptive type-2 fuzzy output feedback control using nonlinear observers for permanent magnet synchronous motor servo systems. Eng. Appl. Artif. Intell. 131: 107833 (2024) - [j139]Kai Sun, Lei Zhao, Pengxin Tian, Jianjun Zhao, Dianhui Wang:
Prediction of X-ray fluorescence copper grade using regularized stochastic configuration networks. Inf. Sci. 659: 120098 (2024) - [j138]Junqi Li, Dianhui Wang:
Stochastic configuration networks with CPU-GPU implementation for large-scale data analytics. Inf. Sci. 667: 120497 (2024) - [j137]Siwei Qiao, Xinghua Liu, Dianhui Wang, Shuzhi Sam Ge:
Security concern and fuzzy output sliding mode load frequency control of power systems. Inf. Sci. 676: 120793 (2024) - [j136]Matthew J. Felicetti, Dianhui Wang:
Stochastic configuration networks with particle swarm optimisation search. Inf. Sci. 677: 120868 (2024) - [j135]Jing Nan, Wei Dai, Dianhui Wang:
Stochastic configuration networks with improved supervisory mechanism. Inf. Sci. 677: 120885 (2024) - [j134]Junqi Li, Dianhui Wang:
2D convolutional stochastic configuration networks. Knowl. Based Syst. 300: 112249 (2024) - [j133]Yuanhang Qiu, Dianhui Wang:
An empirical study on prediction of seismic activity using stochastic configuration networks. Neural Comput. Appl. 36(31): 19435-19448 (2024) - [j132]Bangji Fan, Xinghua Liu, Gaoxi Xiao, Yu Kang, Dianhui Wang, Peng Wang:
Attention-Based Multiagent Graph Reinforcement Learning for Service Restoration. IEEE Trans. Artif. Intell. 5(5): 2163-2178 (2024) - [j131]Kang Li, Junfei Qiao, Dianhui Wang:
Fuzzy Stochastic Configuration Networks for Nonlinear System Modeling. IEEE Trans. Fuzzy Syst. 32(3): 948-957 (2024) - [j130]Kang Li, Junfei Qiao, Dianhui Wang:
Online Self-Learning Stochastic Configuration Networks for Nonstationary Data Stream Analysis. IEEE Trans. Ind. Informatics 20(3): 3222-3231 (2024) - [j129]Yongxuan Chen, Dianhui Wang:
An Improved Deep Kernel Partial Least Squares and Its Application to Industrial Data Modeling. IEEE Trans. Ind. Informatics 20(5): 7894-7903 (2024) - [j128]Dianhui Wang, Pengxin Tian, Wei Dai, Gang Yu:
Predicting Particle Size of Copper Ore Grinding With Stochastic Configuration Networks. IEEE Trans. Ind. Informatics 20(11): 12969-12978 (2024) - [c41]Dmitrii V. Minenkov, Alexander S. Voznesensky, Dianhui Wang, Dmitrii I. Kaplun:
Effective Hardware Implementation of Convolution with Binary Sequences. MECO 2024: 1-4 - [c40]Dianhui Wang, Matthew J. Felicetti:
Lightweight Stochastic Configuration Networks. SDS 2024: 76-83 - [i12]Dianhui Wang, Gang Dang:
Recurrent Stochastic Configuration Networks for Temporal Data Analytics. CoRR abs/2406.16959 (2024) - [i11]Dianhui Wang, Gang Dang:
Fuzzy Recurrent Stochastic Configuration Networks for Industrial Data Analytics. CoRR abs/2407.11038 (2024) - [i10]Gang Dang, Dianhui Wang:
Self-Organizing Recurrent Stochastic Configuration Networks for Nonstationary Data Modelling. CoRR abs/2410.10072 (2024) - [i9]Gang Dang, Dianhui Wang:
Deep Recurrent Stochastic Configuration Networks for Modelling Nonlinear Dynamic Systems. CoRR abs/2410.20904 (2024) - 2023
- [j127]Gang Dang, Dianhui Wang:
Stochastic configuration networks for adaptive inverse dynamics modeling. Int. J. Mach. Learn. Cybern. 14(10): 3529-3541 (2023) - [j126]Wenhua Jiao, Ruilin Li, Jianguo Wang, Dianhui Wang, Kuan Zhang:
Activity recognition in rehabilitation training based on ensemble stochastic configuration networks. Neural Comput. Appl. 35(28): 21229-21245 (2023) - [j125]Yongfu Wang, Bingxin Ma, Dianhui Wang, Tianyou Chai:
Event-Triggered Prespecified Performance Control for Steer-by-Wire Systems With Input Nonlinearity. IEEE Trans. Intell. Transp. Syst. 24(7): 6922-6931 (2023) - [i8]Dianhui Wang, Matthew J. Felicetti:
Stochastic Configuration Machines for Industrial Artificial Intelligence. CoRR abs/2308.13570 (2023) - [i7]Matthew J. Felicetti, Dianhui Wang:
Stochastic Configuration Machines: FPGA Implementation. CoRR abs/2310.19225 (2023) - 2022
- [j124]Jiye Liang, Xiaolin Liu, Liang Bai, Fuyuan Cao, Dianhui Wang:
Incomplete multi-view clustering via local and global co-regularization. Sci. China Inf. Sci. 65(5): 1-16 (2022) - [j123]Yongfu Wang, Gang Luo, Dianhui Wang:
Observer-based fixed-time adaptive fuzzy control for SbW systems with prescribed performance. Eng. Appl. Artif. Intell. 114: 105026 (2022) - [j122]Yongfu Wang, Maoxuan Wang, Dianhui Wang, Yongli Chang:
Stochastic configuration network based cascade generalized predictive control of main steam temperature in power plants. Inf. Sci. 587: 123-141 (2022) - [j121]Matthew J. Felicetti, Dianhui Wang:
Deep stochastic configuration networks with optimised model and hyper-parameters. Inf. Sci. 600: 431-441 (2022) - [j120]Shangjie Li, Xianzhen Huang, Dianhui Wang:
Stochastic configuration networks for multi-dimensional integral evaluation. Inf. Sci. 601: 323-339 (2022) - [j119]Weitao Li, Qian Zhang, Dianhui Wang, Wei Sun, Qiyue Li:
Stochastic configuration networks for self-blast state recognition of glass insulators with adaptive depth and multi-scale representation. Inf. Sci. 604: 61-79 (2022) - [j118]Aijun Yan, Jingcheng Guo, Dianhui Wang:
Robust stochastic configuration networks for industrial data modelling with Student's-t mixture distribution. Inf. Sci. 607: 493-505 (2022) - [j117]Matthew J. Felicetti, Dianhui Wang:
Deep stochastic configuration networks with different random sampling strategies. Inf. Sci. 607: 819-830 (2022) - [j116]Wei Dai, Langlong Ji, Dianhui Wang:
Federated stochastic configuration networks for distributed data analytics. Inf. Sci. 614: 51-70 (2022) - [j115]Wei Dai, Chuanfeng Ning, Jing Nan, Dianhui Wang:
Stochastic configuration networks for imbalanced data classification. Int. J. Mach. Learn. Cybern. 13(10): 2843-2855 (2022) - [j114]Aijun Yan, Jingcheng Guo, Dianhui Wang:
Heterogeneous feature ensemble modeling with stochastic configuration networks for predicting furnace temperature of a municipal solid waste incineration process. Neural Comput. Appl. 34(18): 15807-15819 (2022) - [j113]Pengxin Tian, Kai Sun, Dianhui Wang:
Performance of soft sensors based on stochastic configuration networks with nonnegative garrote. Neural Comput. Appl. 34(18): 16061-16071 (2022) - [j112]Weitao Li, Yali Deng, Meishuang Ding, Dianhui Wang, Wei Sun, Qiyue Li:
Industrial data classification using stochastic configuration networks with self-attention learning features. Neural Comput. Appl. 34(24): 22047-22069 (2022) - [j111]Jie Wang, Jiye Liang, Kaixuan Yao, Jianqing Liang, Dianhui Wang:
Graph convolutional autoencoders with co-learning of graph structure and node attributes. Pattern Recognit. 121: 108215 (2022) - [j110]Yan Pan, Chang-Qin Huang, Dianhui Wang:
Multiview Spectral Clustering via Robust Subspace Segmentation. IEEE Trans. Cybern. 52(4): 2467-2476 (2022) - [j109]Jia Chen, Ming Zhong, Jianxin Li, Dianhui Wang, Tieyun Qian, Hang Tu:
Effective Deep Attributed Network Representation Learning With Topology Adapted Smoothing. IEEE Trans. Cybern. 52(7): 5935-5946 (2022) - [j108]Yongfu Wang, Yunlong Wang, Dianhui Wang, Tianyou Chai:
Observer-Based Composite Adaptive Type-2 Fuzzy Control for PEMFC Air Supply Systems. IEEE Trans. Fuzzy Syst. 30(2): 515-529 (2022) - [c39]Dianhui Wang, Tao Sun, Xin Zhou, Zhuangzhuang Tian, Jianyu Guo, Meng Li, Fangyi Li, Jia Man, Jianyong Li:
Research and development of heavy truck big data management system based on Vue and element UI. ICCIR 2022: 849-853 - 2021
- [j107]Hongen Liu, Hui Yang, Dianhui Wang:
Robust speed prediction of high-speed trains based on improved echo state networks. Neural Comput. Appl. 33(7): 2351-2367 (2021) - [j106]Changqin Huang, Ming Li, Dianhui Wang:
Stochastic configuration network ensembles with selective base models. Neural Networks 137: 106-118 (2021) - [j105]Ming Li, Dianhui Wang:
2-D Stochastic Configuration Networks for Image Data Analytics. IEEE Trans. Cybern. 51(1): 359-372 (2021) - [j104]Wenxuan Liu, Junhua Zhao, Dianhui Wang:
Data mining for energy systems: Review and prospect. WIREs Data Mining Knowl. Discov. 11(4) (2021) - 2020
- [j103]Hailiang Ye, Feilong Cao, Dianhui Wang:
A hybrid regularization approach for random vector functional-link networks. Expert Syst. Appl. 140 (2020) - [j102]Huakai Zhang, Yongfu Wang, Dianhui Wang, Yunlong Wang:
Adaptive robust control of oxygen excess ratio for PEMFC system based on type-2 fuzzy logic system. Inf. Sci. 511: 1-17 (2020) - [j101]Wu Ai, Dianhui Wang:
Distributed stochastic configuration networks with cooperative learning paradigm. Inf. Sci. 540: 1-16 (2020) - [j100]Wei Wang, Dianhui Wang:
Prediction of component concentrations in sodium aluminate liquor using stochastic configuration networks. Neural Comput. Appl. 32(17): 13625-13638 (2020) - [j99]Changqin Huang, Qionghao Huang, Dianhui Wang:
Stochastic Configuration Networks Based Adaptive Storage Replica Management for Power Big Data Processing. IEEE Trans. Ind. Informatics 16(1): 373-383 (2020)
2010 – 2019
- 2019
- [j98]Chun-Hua Xie, Hui Yang, Dianhui Wang, Zhe Li:
Asymptotic state estimation for linear systems with sensor and actuator faults. Sci. China Inf. Sci. 62(11): 212202:1-212202:15 (2019) - [j97]Ming Li, Changqin Huang, Dianhui Wang, Qintai Hu, Jia Zhu, Yong Tang:
Improved randomized learning algorithms for imbalanced and noisy educational data classification. Computing 101(6): 571-585 (2019) - [j96]Xingchen Hu, Witold Pedrycz, Dianhui Wang:
Fuzzy rule-based models with randomized development mechanisms. Fuzzy Sets Syst. 361: 71-87 (2019) - [j95]Ming Li, Changqin Huang, Dianhui Wang:
Robust stochastic configuration networks with maximum correntropy criterion for uncertain data regression. Inf. Sci. 473: 73-86 (2019) - [j94]Mahardhika Pratama, Dianhui Wang:
Deep stacked stochastic configuration networks for lifelong learning of non-stationary data streams. Inf. Sci. 495: 150-174 (2019) - [j93]Haijiao Xu, Changqin Huang, Dianhui Wang:
Enhancing semantic image retrieval with limited labeled examples via deep learning. Knowl. Based Syst. 163: 252-266 (2019) - 2018
- [j92]Bara Miskony, Dianhui Wang:
Construction of prediction intervals using adaptive neurofuzzy inference systems. Appl. Soft Comput. 72: 579-586 (2018) - [j91]Hailiang Ye, Feilong Cao, Dianhui Wang, Hong Li:
Building feedforward neural networks with random weights for large scale datasets. Expert Syst. Appl. 106: 233-243 (2018) - [j90]Hongjie Fan, Zhiyi Ma, Dianhui Wang, Junfei Liu:
Handling distributed XML queries over large XML data based on MapReduce framework. Inf. Sci. 453: 1-20 (2018) - [j89]Feilong Cao, Yuehua Liu, Dianhui Wang:
Efficient saliency detection using convolutional neural networks with feature selection. Inf. Sci. 456: 34-49 (2018) - [j88]Nung Kion Lee, Xi Li, Dianhui Wang:
A comprehensive survey on genetic algorithms for DNA motif prediction. Inf. Sci. 466: 25-43 (2018) - [j87]Hien Duy Nguyen, Dianhui Wang, Geoffrey J. McLachlan:
Randomized mixture models for probability density approximation and estimation. Inf. Sci. 467: 135-148 (2018) - [j86]Changqin Huang, Xizhe Wang, Dianhui Wang:
Type theory based semantic verification for service composition in cloud computing environments. Inf. Sci. 469: 101-118 (2018) - [j85]Yajun Zhang, Yao Jia, Tianyou Chai, Dianhui Wang, Wei Dai, Jun Fu:
Data-Driven PID Controller and Its Application to Pulp Neutralization Process. IEEE Trans. Control. Syst. Technol. 26(3): 828-841 (2018) - [j84]Simone Scardapane, Dianhui Wang, Aurelio Uncini:
Bayesian Random Vector Functional-Link Networks for Robust Data Modeling. IEEE Trans. Cybern. 48(7): 2049-2059 (2018) - [j83]Hui Yang, Yating Fu, Dianhui Wang:
Multi-ANFIS Model Based Synchronous Tracking Control of High-Speed Electric Multiple Unit. IEEE Trans. Fuzzy Syst. 26(3): 1472-1484 (2018) - [j82]Feisheng Yang, Jing He, Dianhui Wang:
New Stability Criteria of Delayed Load Frequency Control Systems via Infinite-Series-Based Inequality. IEEE Trans. Ind. Informatics 14(1): 231-240 (2018) - [j81]Yajun Zhang, Tianyou Chai, Hong Wang, Dianhui Wang, Xinkai Chen:
Nonlinear Decoupling Control With ANFIS-Based Unmodeled Dynamics Compensation for a Class of Complex Industrial Processes. IEEE Trans. Neural Networks Learn. Syst. 29(6): 2352-2366 (2018) - [j80]Yajun Zhang, Tianyou Chai, Dianhui Wang, Xinkai Chen:
Virtual Unmodeled Dynamics Modeling for Nonlinear Multivariable Adaptive Control With Decoupling Design. IEEE Trans. Syst. Man Cybern. Syst. 48(3): 342-353 (2018) - [c38]Dianhui Wang, Ming Li:
Deep Stochastic Configuration Networks with Universal Approximation Property. IJCNN 2018: 1-8 - [i6]Mahardhika Pratama, Dianhui Wang:
Deep Stacked Stochastic Configuration Networks for Non-Stationary Data Streams. CoRR abs/1808.02234 (2018) - [i5]Ming Li, Dianhui Wang:
Two Dimensional Stochastic Configuration Networks for Image Data Analytics. CoRR abs/1809.02066 (2018) - 2017
- [j79]Aijun Yan, Hang Yu, Dianhui Wang:
Case-based reasoning classifier based on learning pseudo metric retrieval. Expert Syst. Appl. 89: 91-98 (2017) - [j78]Mahardhika Pratama, Edwin Lughofer, Dianhui Wang:
Online real-time learning strategies for data streams for Neurocomputing. Neurocomputing 262: 1-3 (2017) - [j77]Junfei Qiao, Sanyi Li, Honggui Han, Dianhui Wang:
An improved algorithm for building self-organizing feedforward neural networks. Neurocomputing 262: 28-40 (2017) - [j76]Yating Fu, Hui Yang, Dianhui Wang:
Real-time optimal control of tracking running for high-speed electric multiple unit. Inf. Sci. 376: 202-215 (2017) - [j75]Ming Li, Dianhui Wang:
Insights into randomized algorithms for neural networks: Practical issues and common pitfalls. Inf. Sci. 382-383: 170-178 (2017) - [j74]Dianhui Wang, Ming Li:
Robust stochastic configuration networks with kernel density estimation for uncertain data regression. Inf. Sci. 412: 210-222 (2017) - [j73]Dianhui Wang, Caihao Cui:
Stochastic configuration networks ensemble with heterogeneous features for large-scale data analytics. Inf. Sci. 417: 55-71 (2017) - [j72]Dianhui Wang, Ming Li:
Stochastic Configuration Networks: Fundamentals and Algorithms. IEEE Trans. Cybern. 47(10): 3466-3479 (2017) - [j71]Yajun Zhang, Tianyou Chai, Dianhui Wang:
An Alternating Identification Algorithm for a Class of Nonlinear Dynamical Systems. IEEE Trans. Neural Networks Learn. Syst. 28(7): 1606-1617 (2017) - [j70]Simone Scardapane, Dianhui Wang:
Randomness in neural networks: an overview. WIREs Data Mining Knowl. Discov. 7(2) (2017) - [c37]Bara Miskony, Dianhui Wang:
A Randomized Algorithm for Prediction Interval Using RVFL Networks Ensemble. ICONIP (4) 2017: 51-60 - [i4]Dianhui Wang, Ming Li:
Stochastic Configuration Networks: Fundamentals and Algorithms. CoRR abs/1702.03180 (2017) - [i3]Dianhui Wang, Ming Li:
Building Robust Stochastic Configuration Networks with Kernel Density Estimation. CoRR abs/1702.04459 (2017) - [i2]Dianhui Wang, Ming Li:
Deep Stochastic Configuration Networks: Universal Approximation and Learning Representation. CoRR abs/1702.05639 (2017) - [i1]Dianhui Wang, Caihao Cui:
Stochastic Configuration Networks Ensemble for Large-Scale Data Analytics. CoRR abs/1707.00300 (2017) - 2016
- [j69]Weitao Li, Keqiong Chen, Dianhui Wang:
Industrial image classification using a randomized neural-net ensemble and feedback mechanism. Neurocomputing 173: 708-714 (2016) - [j68]Feilong Cao, Dianhui Wang, Hou-Ying Zhu, Yuguang Wang:
An iterative learning algorithm for feedforward neural networks with random weights. Inf. Sci. 328: 546-557 (2016) - [j67]Dianhui Wang:
Editorial: Randomized algorithms for training neural networks. Inf. Sci. 364-365: 126-128 (2016) - [j66]Caihao Cui, Dianhui Wang:
High dimensional data regression using Lasso model and neural networks with random weights. Inf. Sci. 372: 505-517 (2016) - [j65]Simone Scardapane, Dianhui Wang, Massimo Panella:
A decentralized training algorithm for Echo State Networks in distributed big data applications. Neural Networks 78: 65-74 (2016) - [j64]Sarwar Tapan, Dianhui Wang:
A Further Study on Mining DNA Motifs Using Fuzzy Self-Organizing Maps. IEEE Trans. Neural Networks Learn. Syst. 27(1): 113-124 (2016) - [j63]Yan Xu, Rui Zhang, Junhua Zhao, Zhao Yang Dong, Dianhui Wang, Hongming Yang, Kit Po Wong:
Assessing Short-Term Voltage Stability of Electric Power Systems by a Hierarchical Intelligent System. IEEE Trans. Neural Networks Learn. Syst. 27(8): 1686-1696 (2016) - 2015
- [j62]Aijun Yan, Dianhui Wang:
Trustworthiness evaluation and retrieval-based revision method for case-based reasoning classifiers. Expert Syst. Appl. 42(21): 8006-8013 (2015) - [j61]Dianhui Wang, Wen Yu, Tianyou Chai:
Guest Editorial: Special issue on computational intelligence for industrial data processing and analysis. Neurocomputing 169: 358-360 (2015) - [j60]Xiaojie Zhou, Dianhui Wang, Zhugui Shao:
2-D regularized locality preserving projection algorithms for temporospatial feature reduction and its application in industrial data regression. Neurocomputing 169: 373-382 (2015) - [j59]Huaixin Cao, Feilong Cao, Dianhui Wang:
Quantum artificial neural networks with applications. Inf. Sci. 290: 1-6 (2015) - [j58]Dan Tian, Dingyu Xue, Dianhui Wang:
A fractional-order adaptive regularization primal-dual algorithm for image denoising. Inf. Sci. 296: 147-159 (2015) - [j57]Huaixin Cao, Dianhui Wang, Feilong Cao:
An adiabatic quantum algorithm and its application to DNA motif model discovery. Inf. Sci. 296: 275-281 (2015) - [j56]Simone Scardapane, Dianhui Wang, Massimo Panella, Aurelio Uncini:
Distributed learning for Random Vector Functional-Link networks. Inf. Sci. 301: 271-284 (2015) - [j55]Feilong Cao, Hailiang Ye, Dianhui Wang:
A probabilistic learning algorithm for robust modeling using neural networks with random weights. Inf. Sci. 313: 62-78 (2015) - [j54]Weitao Li, Dianhui Wang, Xiaojie Zhou, Tianyou Chai:
An improved multi-source based soft sensor for measuring cement free lime content. Inf. Sci. 323: 94-105 (2015) - [j53]Jianwei Zhao, Zhihui Wang, Feilong Cao, Dianhui Wang:
A local learning algorithm for random weights networks. Knowl. Based Syst. 74: 159-166 (2015) - [j52]Weitao Li, Dianhui Wang, Tianyou Chai:
Multisource Data Ensemble Modeling for Clinker Free Lime Content Estimate in Rotary Kiln Sintering Processes. IEEE Trans. Syst. Man Cybern. Syst. 45(2): 303-314 (2015) - [c36]Simone Scardapane, Roberto Fierimonte, Dianhui Wang, Massimo Panella, Aurelio Uncini:
Distributed music classification using Random Vector Functional-Link nets. IJCNN 2015: 1-8 - 2014
- [j51]Zhihong Man, Dianhui Wang:
Introduction to the special issue on fault diagnosis and prognosis for engineering systems. Comput. Electr. Eng. 40(7): 2151-2153 (2014) - [j50]Dianhui Wang, Zhihong Man:
Special issue: Data-driven fault diagnosis of industrial systems. Inf. Sci. 259: 231-233 (2014) - [j49]Monther Alhamdoosh, Dianhui Wang:
Fast decorrelated neural network ensembles with random weights. Inf. Sci. 264: 104-117 (2014) - [j48]Feisheng Yang, Shouping Guan, Dianhui Wang:
Quadratically convex combination approach to stability of T-S fuzzy systems with time-varying delay. J. Frankl. Inst. 351(7): 3752-3765 (2014) - 2013
- [j47]