Weidong Zou

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 16

Top Topics

Extreme Learning Machine

Feed Forward Neural Networks

Top Venues

Neural Comput. Appl.

IEEE Trans. Cybern.

Publications

Huihuang Lu, Weidong Zou, Liping Yan
A Novel Online Sequential Learning Algorithm for ELM Based on Optimal Control. KSEM (2) (2024)
Weidong Zou, Yuanqing Xia, Weipeng Cao
AdaDerivative optimizer: Adapting step-sizes by the derivative term in past gradient information. Eng. Appl. Artif. Intell. 119 (2023)
Weidong Zou, Yuanqing Xia, Li Dai
Fuzzy Broad Learning System Based on Accelerating Amount. IEEE Trans. Fuzzy Syst. 30 (9) (2022)
Can Wang, Yuxiang Li, Weidong Zou, Yuanqing Xia
An Incremental Extreme Learning Machine Prediction Method Based on Attenuated Regularization Term. ICSI (2) (2022)
Weidong Zou, Yuanqing Xia, Weipeng Cao
Dense deep stochastic configuration network with hybrid training mechanism. Int. J. Comput. Sci. Math. 15 (3) (2022)
Weidong Zou, Yuanqing Xia, Weipeng Cao
Back-propagation extreme learning machine. Soft Comput. 26 (18) (2022)
Yuxiang Li, Weidong Zou, Can Wang, Yuanqing Xia
Extreme Learning Machine Based on Adaptive Matrix Iteration. ICSI (2) (2022)
Weidong Zou, Yuanqing Xia, Meikang Qiu, Weipeng Cao
Dense Incremental Extreme Learning Machine with Accelerating Amount and Proportional Integral Differential. KSEM (2021)
Hongwei Zhang, Weidong Zou, Hongbo Zhao, Qi Ming, Tijin Yan, Yuanqing Xia, Weipeng Cao
AdaL: Adaptive Gradient Transformation Contributes to Convergences and Generalizations. CoRR (2021)
Weidong Zou, Yuanqing Xia, Weipeng Cao
Dense Broad Learning System based on Conjugate Gradient. IJCNN (2020)
Weidong Zou, Yuanqing Xia, Weipeng Cao
Dense Broad Learning System with Proportional Integral Differential and Adaptive Moment Estimation. ICMLA (2020)
Weidong Zou, Yuanqing Xia, Weipeng Cao, Zhong Ming
Broad Learning System with Proportional-Integral-Differential Gradient Descent. ICA3PP (1) (2020)
Weidong Zou, Yuanqing Xia
Back propagation bidirectional extreme learning machine for traffic flow time series prediction. Neural Comput. Appl. 31 (11) (2019)
Weidong Zou, Yuanqing Xia, Huifang Li
Fault Diagnosis of Tennessee-Eastman Process Using Orthogonal Incremental Extreme Learning Machine Based on Driving Amount. IEEE Trans. Cybern. 48 (12) (2018)
Weidong Zou, Fenxi Yao, Baihai Zhang, Zixiao Guan
Improved Meta-ELM with error feedback incremental ELM as hidden nodes. Neural Comput. Appl. 30 (11) (2018)
Weidong Zou, Fenxi Yao, Baihai Zhang, Chaoxing He, Zixiao Guan
Verification and predicting temperature and humidity in a solar greenhouse based on convex bidirectional extreme learning machine algorithm. Neurocomputing 249 (2017)