Framework of an intelligent grinding process advisor. - Yung C. Shin; Yu-To Chen; Soundar R. T. Kumara (J. Intell. Manuf., 1992)

Radial basis function neural network for approximation and estimation of nonlinear stochastic dynamic systems. - V. T. Sunil Elanayar; Yung C. Shin (IEEE Trans. Neural Networks, 1994)

Framework of a machining advisory system with application to face milling processes. - Yung C. Shin; Andrew J. Waters (J. Intell. Manuf., 1998)

Adaptive tuning of fuzzy membership functions for non-linear optimization using gradient descent method. - Prashant S. Vishnupad; Yung C. Shin (J. Intell. Fuzzy Syst., 1999)

State estimation of continuous-time radial basis function networks. - V. T. Sunil Elanayar; Yung C. Shin (Autom., 2000)

Construction of fuzzy systems using least-squares method and genetic algorithm. - Cheol W. Lee; Yung C. Shin (Fuzzy Sets Syst., 2003)

Design of a multilevel fuzzy controller for nonlinear systems and stability analysis. - Chengying Xu; Yung C. Shin (IEEE Trans. Fuzzy Syst., 2005)

Interaction analysis for MIMO nonlinear systems based on a fuzzy basis function network model. - Chengying Xu; Yung C. Shin (Fuzzy Sets Syst., 2007)

A Fuzzy Inverse Model Construction Method for General Monotonic Multi-Input - Single-Output (MISO) Systems. - Chengying Xu; Yung C. Shin (IEEE Trans. Fuzzy Syst., 2008)

Adaptive divided difference filtering for simultaneous state and parameter estimation. - Niranjan A. Subrahmanya; Yung C. Shin (Autom., 2009)

A Stable Hierarchical Fuzzy Control Design for certain Non-Linear Systems Based on input-output passivity Theory. - Chengying Xu; Yung C. Shin (Control. Intell. Syst., 2009)

Constructive training of recurrent neural networks using hybrid optimization. - Niranjan A. Subrahmanya; Yung C. Shin (Neurocomputing, 2010)

Sparse Multiple Kernel Learning for Signal Processing Applications. - Niranjan A. Subrahmanya; Yung C. Shin (IEEE Trans. Pattern Anal. Mach. Intell., 2010)

A self-tuning fuzzy controller for a class of multi-input multi-output nonlinear systems. - Chengying Xu; Yung C. Shin (Eng. Appl. Artif. Intell., 2011)

Vision-based clad height measurement. - Tyler A. Davis; Yung C. Shin (Mach. Vis. Appl., 2011)

A Multilevel Fuzzy Control Design for a Class of Multiinput Single-Output Systems. - Chengying Xu; Yung C. Shin (IEEE Trans. Ind. Electron., 2012)

A data-based framework for fault detection and diagnostics of non-linear systems with partial state measurement. - Niranjan A. Subrahmanya; Yung C. Shin (Eng. Appl. Artif. Intell., 2013)

A variational Bayesian framework for group feature selection. - Niranjan A. Subrahmanya; Yung C. Shin (Int. J. Mach. Learn. Cybern., 2013)

The status, challenges, and future of additive manufacturing in engineering. - Wei Gao; Yunbo Zhang; Devarajan Ramanujan; Karthik Ramani; Yong Chen 017; Christopher B. Williams; Charlie C. L. Wang; Yung C. Shin; Song Zhang 002; Pablo D. Zavattieri (Comput. Aided Des., 2015)

Gain estimation of nonlinear dynamic systems modeled by an FBFN and the maximum output scaling factor of a self-tuning PI fuzzy controller. - Phuong D. Ngo; Yung C. Shin (Eng. Appl. Artif. Intell., 2015)

Nonlinear discrete time optimal control based on Fuzzy Models. - Xin Jin; Yung C. Shin (J. Intell. Fuzzy Syst., 2015)

Modeling of unstructured uncertainties and robust controlling of nonlinear dynamic systems based on type-2 fuzzy basis function networks. - Phuong D. Ngo; Yung C. Shin (Eng. Appl. Artif. Intell., 2016)

An adaptive Gaussian mixture method for nonlinear uncertainty propagation in neural networks. - Bin Zhang; Yung C. Shin (Neurocomputing, 2021)

A probabilistic neural network for uncertainty prediction with applications to manufacturing process monitoring. - Bin Zhang; Yung C. Shin (Appl. Soft Comput., 2022)

A Gaussian mixture filter with adaptive refinement for nonlinear state estimation. - Bin Zhang; Yung C. Shin (Signal Process., 2022)