Articles amb requisits d'accés públic - MengChu ZhouMés informació
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Dendritic neuron model with effective learning algorithms for classification, approximation, and prediction
S Gao, M Zhou, Y Wang, J Cheng, H Yachi, J Wang
IEEE transactions on neural networks and learning systems 30 (2), 601-614, 2018
Requisits: National Natural Science Foundation of China
Chaotic local search-based differential evolution algorithms for optimization
S Gao, Y Yu, Y Wang, J Wang, J Cheng, MC Zhou
IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (6), 3954-3967, 2019
Requisits: National Natural Science Foundation of China
A nonnegative latent factor model for large-scale sparse matrices in recommender systems via alternating direction method
X Luo, MC Zhou, S Li, Z You, Y Xia, Q Zhu
IEEE transactions on neural networks and learning systems 27 (3), 579-592, 2015
Requisits: National Natural Science Foundation of China
Dynamic cloud task scheduling based on a two-stage strategy
PY Zhang, MC Zhou
IEEE Transactions on Automation Science and Engineering 15 (2), 772-783, 2017
Requisits: US National Science Foundation, National Natural Science Foundation of China
Temporal pattern-aware QoS prediction via biased non-negative latent factorization of tensors
X Luo, H Wu, H Yuan, MC Zhou
IEEE transactions on cybernetics 50 (5), 1798-1809, 2019
Requisits: Chinese Academy of Sciences, National Natural Science Foundation of China
Internet of things as system of systems: A review of methodologies, frameworks, platforms, and tools
G Fortino, C Savaglio, G Spezzano, MC Zhou
IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (1), 223-236, 2020
Requisits: Government of Italy
Generating highly accurate predictions for missing QoS data via aggregating nonnegative latent factor models
X Luo, MC Zhou, Y Xia, Q Zhu, AC Ammari, A Alabdulwahab
IEEE transactions on neural networks and learning systems 27 (3), 524-537, 2015
Requisits: National Natural Science Foundation of China
Pareto-optimization for scheduling of crude oil operations in refinery via genetic algorithm
Y Hou, NQ Wu, MC Zhou, ZW Li
IEEE Transactions on Systems, Man, and Cybernetics: Systems 47 (3), 517-530, 2015
Requisits: National Natural Science Foundation of China
Incorporation of efficient second-order solvers into latent factor models for accurate prediction of missing QoS data
X Luo, MC Zhou, S Li, Y Xia, ZH You, QS Zhu, H Leung
IEEE transactions on cybernetics 48 (4), 1216-1228, 2017
Requisits: Chinese Academy of Sciences, National Natural Science Foundation of China
Disassembly sequence planning considering fuzzy component quality and varying operational cost
G Tian, M Zhou, P Li
IEEE Transactions on Automation Science and Engineering 15 (2), 748-760, 2017
Requisits: National Natural Science Foundation of China
Modeling and Planning for Dual-Objective Selective Disassembly Using and/or Graph and Discrete Artificial Bee Colony
G Tian, Y Ren, Y Feng, MC Zhou, H Zhang, J Tan
IEEE Transactions on Industrial Informatics 15 (4), 2456-2468, 2018
Requisits: National Natural Science Foundation of China
Lexicographic multiobjective scatter search for the optimization of sequence-dependent selective disassembly subject to multiresource constraints
X Guo, M Zhou, S Liu, L Qi
IEEE Transactions on Cybernetics 50 (7), 3307-3317, 2019
Requisits: National Natural Science Foundation of China
Optimal load scheduling of plug-in hybrid electric vehicles via weight-aggregation multi-objective evolutionary algorithms
Q Kang, SW Feng, MC Zhou, AC Ammari, K Sedraoui
IEEE Transactions on Intelligent Transportation Systems 18 (9), 2557-2568, 2017
Requisits: National Natural Science Foundation of China
An inherently nonnegative latent factor model for high-dimensional and sparse matrices from industrial applications
X Luo, MC Zhou, S Li, MS Shang
IEEE Transactions on Industrial Informatics 14 (5), 2011-2022, 2017
Requisits: Chinese Academy of Sciences, National Natural Science Foundation of China
An efficient group recommendation model with multiattention-based neural networks
Z Huang, X Xu, H Zhu, MC Zhou
IEEE Transactions on Neural Networks and Learning Systems 31 (11), 4461-4474, 2020
Requisits: National Natural Science Foundation of China
A supervised learning and control method to improve particle swarm optimization algorithms
W Dong, MC Zhou
IEEE Transactions on Systems, Man, and Cybernetics: Systems 47 (7), 1135-1148, 2016
Requisits: National Natural Science Foundation of China
Iterated greedy algorithms for flow-shop scheduling problems: A tutorial
ZY Zhao, MC Zhou, SX Liu
IEEE Transactions on Automation Science and Engineering 19 (3), 1941-1959, 2021
Requisits: National Natural Science Foundation of China
AHP, gray correlation, and TOPSIS combined approach to green performance evaluation of design alternatives
G Tian, H Zhang, MC Zhou, Z Li
IEEE Transactions on Systems, Man, and Cybernetics: Systems 48 (7), 1093-1105, 2017
Requisits: National Natural Science Foundation of China
Composite particle swarm optimizer with historical memory for function optimization
J Li, JQ Zhang, CJ Jiang, MC Zhou
IEEE transactions on cybernetics 45 (10), 2350-2363, 2015
Requisits: National Natural Science Foundation of China
Optimizing weighted extreme learning machines for imbalanced classification and application to credit card fraud detection
H Zhu, G Liu, M Zhou, Y Xie, A Abusorrah, Q Kang
Neurocomputing 407, 50-62, 2020
Requisits: National Natural Science Foundation of China
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