Shangce GAO
Shangce GAO
Professor, University of Toyama, Japan
Geverifieerd e-mailadres voor eng.u-toyama.ac.jp - Homepage
Geciteerd door
Geciteerd door
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, 2019
Routing in internet of vehicles: A review
JJ Cheng, JL Cheng, MC Zhou, FQ Liu, SC Gao, C Liu
IEEE Transactions on Intelligent Transportation Systems 16 (5), 2339-2352, 2015
Ant colony optimization with clustering for solving the dynamic location routing problem
S Gao, Y Wang, J Cheng, Y Inazumi, Z Tang
Applied Mathematics and Computation 285, 149-173, 2016
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, 2021
Financial time series prediction using a dendritic neuron model
T Zhou, S Gao, J Wang, C Chu, Y Todo, Z Tang
Knowledge-Based Systems 105, 214-224, 2016
Gravitational search algorithm combined with chaos for unconstrained numerical optimization
S Gao, C Vairappan, Y Wang, Q Cao, Z Tang
Applied Mathematics and Computation 231, 48-62, 2014
A multi-layered gravitational search algorithm for function optimization and real-world problems
Y Wang, S Gao, M Zhou, Y Yu
IEEE/CAA Journal of Automatica Sinica 8 (1), 94-109, 2020
CBSO: a memetic brain storm optimization with chaotic local search
Y Yu, S Gao, S Cheng, Y Wang, S Song, F Yuan
Memetic Computing 10, 353-367, 2018
A state-of-the-art differential evolution algorithm for parameter estimation of solar photovoltaic models
S Gao, K Wang, S Tao, T Jin, H Dai, J Cheng
Energy Conversion and Management 230, 113784, 2021
A hierarchical gravitational search algorithm with an effective gravitational constant
Y Wang, Y Yu, S Gao, H Pan, G Yang
Swarm and Evolutionary Computation 46, 118-139, 2019
Bi-objective elite differential evolution algorithm for multivalued logic networks
J Sun, S Gao, H Dai, J Cheng, MC Zhou, J Wang
IEEE Transactions on Cybernetics 50 (1), 233-246, 2020
Accessibility analysis and modeling for IoV in an urban scene
J Cheng, G Yuan, M Zhou, S Gao, C Liu, H Duan, QT Zeng
IEEE Transactions on Vehicular Technology 69 (4), 4246-4256, 2020
Incorporation of solvent effect into multi-objective evolutionary algorithm for improved protein structure prediction
S Gao, S Song, J Cheng, Y Todo, M Zhou
IEEE/ACM transactions on computational biology and bioinformatics 15 (4 …, 2017
An aggregative learning gravitational search algorithm with self-adaptive gravitational constants
Z Lei, S Gao, S Gupta, J Cheng, G Yang
Expert Systems with Applications 152, 113396, 2020
Global optimum-based search differential evolution
Y Yu, S Gao, Y Wang, Y Todo
IEEE/CAA Journal of Automatica Sinica 6 (2), 379-394, 2019
A review of applications of artificial intelligent algorithms in wind farms
Y Wang, Y Yu, S Cao, X Zhang, S Gao
Artificial Intelligence Review 53, 3447-3500, 2020
An approximate logic neuron model with a dendritic structure
J Ji, S Gao, J Cheng, Z Tang, Y Todo
Neurocomputing 173, 1775-1783, 2016
A novel method for detecting new overlapping community in complex evolving networks
J Cheng, X Wu, M Zhou, S Gao, Z Huang, C Liu
IEEE Transactions on Systems, Man, and Cybernetics: Systems 49 (9), 1832-1844, 2018
Batch type local search-based adaptive neuro-fuzzy inference system (ANFIS) with self-feedbacks for time-series prediction
C Vairappan, H Tamura, S Gao, Z Tang
Neurocomputing 72 (7-9), 1870-1877, 2009
A connectivity-prediction-based dynamic clustering model for VANET in an urban scene
J Cheng, G Yuan, MC Zhou, S Gao, Z Huang, C Liu
IEEE Internet of Things Journal 7 (9), 8410-8418, 2020
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