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2020 – today
- 2022
[j25]Bin Zhang
, Yung C. Shin:
A probabilistic neural network for uncertainty prediction with applications to manufacturing process monitoring. Appl. Soft Comput. 124: 108995 (2022)- [j24]Bin Zhang, Yung C. Shin:
A Gaussian mixture filter with adaptive refinement for nonlinear state estimation. Signal Process. 201: 108677 (2022) - 2021
- [j23]Bin Zhang, Yung C. Shin:
An adaptive Gaussian mixture method for nonlinear uncertainty propagation in neural networks. Neurocomputing 458: 170-183 (2021)
2010 – 2019
- 2016
- [j22]Phuong D. Ngo, Yung C. Shin:
Modeling of unstructured uncertainties and robust controlling of nonlinear dynamic systems based on type-2 fuzzy basis function networks. Eng. Appl. Artif. Intell. 53: 74-85 (2016) - 2015
- [j21]Wei Gao, Yunbo Zhang, Devarajan Ramanujan, Karthik Ramani, Yong Chen, Christopher B. Williams, Charlie C. L. Wang, Yung C. Shin, Song Zhang, Pablo D. Zavattieri:
The status, challenges, and future of additive manufacturing in engineering. Comput. Aided Des. 69: 65-89 (2015) - [j20]Phuong D. Ngo, Yung C. Shin:
Gain estimation of nonlinear dynamic systems modeled by an FBFN and the maximum output scaling factor of a self-tuning PI fuzzy controller. Eng. Appl. Artif. Intell. 42: 1-15 (2015) - [j19]Xin Jin, Yung C. Shin:
Nonlinear discrete time optimal control based on Fuzzy Models. J. Intell. Fuzzy Syst. 29(2): 647-658 (2015) - 2013
- [j18]Niranjan A. Subrahmanya, Yung C. Shin:
A data-based framework for fault detection and diagnostics of non-linear systems with partial state measurement. Eng. Appl. Artif. Intell. 26(1): 446-455 (2013) - [j17]Niranjan A. Subrahmanya, Yung C. Shin:
A variational Bayesian framework for group feature selection. Int. J. Mach. Learn. Cybern. 4(6): 609-619 (2013) - 2012
- [j16]Chengying Xu, Yung C. Shin:
A Multilevel Fuzzy Control Design for a Class of Multiinput Single-Output Systems. IEEE Trans. Ind. Electron. 59(8): 3113-3123 (2012) - 2011
- [j15]Chengying Xu, Yung C. Shin:
A self-tuning fuzzy controller for a class of multi-input multi-output nonlinear systems. Eng. Appl. Artif. Intell. 24(2): 238-250 (2011) - [j14]Tyler A. Davis, Yung C. Shin:
Vision-based clad height measurement. Mach. Vis. Appl. 22(1): 129-136 (2011) - 2010
- [j13]Niranjan A. Subrahmanya, Yung C. Shin:
Constructive training of recurrent neural networks using hybrid optimization. Neurocomputing 73(13-15): 2624-2631 (2010) - [j12]Niranjan A. Subrahmanya, Yung C. Shin:
Sparse Multiple Kernel Learning for Signal Processing Applications. IEEE Trans. Pattern Anal. Mach. Intell. 32(5): 788-798 (2010)
2000 – 2009
- 2009
- [j11]Niranjan A. Subrahmanya, Yung C. Shin:
Adaptive divided difference filtering for simultaneous state and parameter estimation. Autom. 45(7): 1686-1693 (2009) - [j10]Chengying Xu, Yung C. Shin:
A Stable Hierarchical Fuzzy Control Design for certain Non-Linear Systems Based on input-output passivity Theory. Control. Intell. Syst. 37(2) (2009) - 2008
- [j9]Chengying Xu, Yung C. Shin:
A Fuzzy Inverse Model Construction Method for General Monotonic Multi-Input - Single-Output (MISO) Systems. IEEE Trans. Fuzzy Syst. 16(5): 1216-1231 (2008) - 2007
- [j8]Chengying Xu, Yung C. Shin:
Interaction analysis for MIMO nonlinear systems based on a fuzzy basis function network model. Fuzzy Sets Syst. 158(18): 2013-2025 (2007) - 2005
- [j7]Chengying Xu, Yung C. Shin:
Design of a multilevel fuzzy controller for nonlinear systems and stability analysis. IEEE Trans. Fuzzy Syst. 13(6): 761-778 (2005) - 2003
- [j6]Cheol W. Lee, Yung C. Shin:
Construction of fuzzy systems using least-squares method and genetic algorithm. Fuzzy Sets Syst. 137(3): 297-323 (2003) - 2000
- [j5]V. T. Sunil Elanayar, Yung C. Shin:
State estimation of continuous-time radial basis function networks. Autom. 36(3): 399-407 (2000)
1990 – 1999
- 1999
- [j4]Prashant S. Vishnupad, Yung C. Shin:
Adaptive tuning of fuzzy membership functions for non-linear optimization using gradient descent method. J. Intell. Fuzzy Syst. 7(1): 13-25 (1999) - 1998
- [j3]Yung C. Shin, Andrew J. Waters:
Framework of a machining advisory system with application to face milling processes. J. Intell. Manuf. 9(3): 225-234 (1998) - 1994
- [j2]V. T. Sunil Elanayar, Yung C. Shin:
Radial basis function neural network for approximation and estimation of nonlinear stochastic dynamic systems. IEEE Trans. Neural Networks 5(4): 594-603 (1994) - 1992
- [j1]Yung C. Shin, Yu-To Chen, Soundar R. T. Kumara:
Framework of an intelligent grinding process advisor. J. Intell. Manuf. 3(3): 135-148 (1992)
Coauthor Index
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