Jian Wang
Jian Wang
Cross-Media Big Data Joint Lab, China University of Petroleum (East China)
Потвърден имейл адрес: upc.edu.cn - Начална страница
Review and performance comparison of SVM-and ELM-based classifiers
J Chorowski, J Wang, JM Zurada
Neurocomputing 128, 507-516, 2014
Convergence analysis of online gradient method for BP neural networks
W Wu, J Wang, M Cheng, Z Li
Neural Networks 24 (1), 91-98, 2011
Feature selection for neural networks using group lasso regularization
H Zhang, J Wang, Z Sun, JM Zurada, NR Pal
IEEE Transactions on Knowledge and Data Engineering 32 (4), 659-673, 2020
Fractional-order gradient descent learning of BP neural networks with Caputo derivative
J Wang, Y Wen, Y Gou, Z Ye, H Chen
Neural networks 89, 19-30, 2017
Affine transformation-enhanced multifactorial optimization for heterogeneous problems
X Xue, K Zhang, KC Tan, L Feng, J Wang, G Chen, X Zhao, L Zhang, ...
IEEE Transactions on Cybernetics 52 (7), 6217-6231, 2022
Application of extreme learning machine and neural networks in total organic carbon content prediction in organic shale with wire line logs
X Shi, J Wang, G Liu, L Yang, X Ge, S Jiang
Journal of Natural Gas Science and Engineering 33, 687-702, 2016
History matching of naturally fractured reservoirs using a deep sparse autoencoder
K Zhang, J Zhang, X Ma, C Yao, L Zhang, Y Yang, J Wang, J Yao, H Zhao
SPE Journal 26 (04), 1700-1721, 2021
Data-driven niching differential evolution with adaptive parameters control for history matching and uncertainty quantification
X Ma, K Zhang, L Zhang, C Yao, J Yao, H Wang, W Jian, Y Yan
Spe Journal 26 (02), 993-1010, 2021
An enhanced competitive swarm optimizer with strongly convex sparse operator for large-scale multiobjective optimization
X Wang, K Zhang, J Wang, Y Jin
IEEE transactions on evolutionary computation 26 (5), 859-871, 2022
Training effective deep reinforcement learning agents for real-time life-cycle production optimization
K Zhang, Z Wang, G Chen, L Zhang, Y Yang, C Yao, J Wang, J Yao
Journal of Petroleum Science and Engineering 208, 109766, 2022
A novel pruning algorithm for smoothing feedforward neural networks based on group lasso method
J Wang, C Xu, X Yang, JM Zurada
IEEE transactions on neural networks and learning systems 29 (5), 2012-2024, 2018
An Efficient Approach for Real‐Time Prediction of Rate of Penetration in Offshore Drilling
X Shi, G Liu, X Gong, J Zhang, J Wang, H Zhang
Mathematical Problems in Engineering 2016 (1), 3575380, 2016
Feature selection using a neural network with group lasso regularization and controlled redundancy
J Wang, H Zhang, J Wang, Y Pu, NR Pal
IEEE transactions on neural networks and learning systems 32 (3), 1110-1123, 2021
Multifidelity genetic transfer: an efficient framework for production optimization
F Yin, X Xue, C Zhang, K Zhang, J Han, BX Liu, J Wang, J Yao
Spe Journal 26 (04), 1614-1635, 2021
Batch gradient method with smoothing L1/2 regularization for training of feedforward neural networks
W Wu, Q Fan, JM Zurada, J Wang, D Yang, Y Liu
Neural Networks 50, 72-78, 2014
An adaptive neuro-fuzzy system with integrated feature selection and rule extraction for high-dimensional classification problems
G Xue, Q Chang, J Wang, K Zhang, NR Pal
IEEE Transactions on Fuzzy Systems 31 (7), 2167-2181, 2023
Efficient hierarchical surrogate-assisted differential evolution for high-dimensional expensive optimization
G Chen, Y Li, K Zhang, X Xue, J Wang, Q Luo, C Yao, J Yao
Information Sciences 542, 228-246, 2021
A recalling-enhanced recurrent neural network: Conjugate gradient learning algorithm and its convergence analysis
T Gao, X Gong, K Zhang, F Lin, J Wang, T Huang, JM Zurada
Information Sciences 519, 273-288, 2020
Learning Optimized Structure of Neural Networks by Hidden Node Pruning With L₁ Regularization
X Xie, H Zhang, J Wang, Q Chang, J Wang, NR Pal
IEEE transactions on cybernetics 50 (3), 1333-1346, 2020
Deterministic convergence of conjugate gradient method for feedforward neural networks
J Wang, W Wu, JM Zurada
Neurocomputing 74 (14-15), 2368-2376, 2011
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