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Jian-Chuan Yin
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2020 – today
- 2021
- [j10]Wenhao Wu, Lianbo Li, Jian-Chuan Yin, Wenyu Lyu, Wenjun Zhang:
A Modular Tide Level Prediction Method Based on a NARX Neural Network. IEEE Access 9: 147416-147429 (2021)
2010 – 2019
- 2019
- [j9]Ze-Guo Zhang, Jian-Chuan Yin, Ni-Ni Wang, Zi-gang Hui:
Vessel traffic flow analysis and prediction by an improved PSO-BP mechanism based on AIS data. Evol. Syst. 10(3): 397-407 (2019) - 2018
- [j8]Ze-Guo Zhang, Jian-Chuan Yin, Cheng Liu:
A Modular Real-time Tidal Prediction Model based on Grey-GMDH Neural Network. Appl. Artif. Intell. 32(2): 165-185 (2018) - [j7]Jian-Chuan Yin, Anastassios N. Perakis, Ning Wang:
An Ensemble Real-Time Tidal Level Prediction Mechanism Using Multiresolution Wavelet Decomposition Method. IEEE Trans. Geosci. Remote. Sens. 56(8): 4856-4865 (2018) - [j6]Jian-Chuan Yin, Ning Wang, Anastassios N. Perakis:
A Real-Time Sequential Ship Roll Prediction Scheme Based on Adaptive Sliding Data Window. IEEE Trans. Syst. Man Cybern. Syst. 48(12): 2115-2125 (2018) - 2017
- [j5]Jian-Chuan Yin:
A variable-structure online sequential extreme learning machine for time-varying system prediction. Neurocomputing 261: 115-125 (2017) - 2015
- [j4]Jian-Chuan Yin, Ni-Ni Wang, Jiang-Qiang Hu:
A hybrid real-time tidal prediction mechanism based on harmonic method and variable structure neural network. Eng. Appl. Artif. Intell. 41: 223-231 (2015) - 2014
- [j3]Jian-Chuan Yin, Zaojian Zou, Feng Xu, Ni-Ni Wang:
Online ship roll motion prediction based on grey sequential extreme learning machine. Neurocomputing 129: 168-174 (2014) - 2013
- [j2]Jian-Chuan Yin, Ni-Ni Wang:
Online grey Prediction of ship Roll Motion using Variable RBFN. Appl. Artif. Intell. 27(10): 941-960 (2013) - 2011
- [j1]Xin Song, Fang Liu, Zaojian Zou, Yue Min Zhu, Jian-Chuan Yin, Feng Xu:
Nonlinear underwater robot controller design with adaptive disturbance prediction and smoother. Int. J. Comput. Intell. Syst. 4(4): 634-643 (2011)
2000 – 2009
- 2006
- [c1]Jiang-Qiang Hu, Chen Guo, Tie-shan Li, Jian-Chuan Yin:
Adaptive Clonal Selection with Elitism-Guided Crossover for Function Optimization. ICICIC (1) 2006: 206-209
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