Jin-Tsong Jeng

According to our database1, Jin-Tsong Jeng authored at least 72 papers between 1997 and 2024.

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Bibliography

2024
Editorial Message: Special Issue on Advances Fuzzy Methods on Control, Robotics and Applications.
Int. J. Fuzzy Syst., 2024

Text-Independent Speaker Verification Using Lightweight 3D Convolutional Neural Networks.
Proceedings of the International Conference on System Science and Engineering, 2024

2023
An Efficient Intuitionistic Fuzzy Sets Base Stations Deployment Strategy in Internet of Things Systems.
Int. J. Fuzzy Syst., 2023

2022
Editorial Message: Special Issue on Advances Fuzzy methods on Control, Clustering and Decision-Making.
Int. J. Fuzzy Syst., 2022

Editorial Message: Special Issue on Advances Fuzzy Methods on Learning, Control, and Modeling.
Int. J. Fuzzy Syst., 2022

2020
Editorial Message: Special Issue on Advances in Fuzzy Systems and Type-2 Fuzzy Sets.
Int. J. Fuzzy Syst., 2020

Interval Fuzzy c-Regression Models with Competitive Agglomeration for Symbolic Interval-Valued Data.
Int. J. Fuzzy Syst., 2020

An efficient data collection path planning scheme for wireless sensor networks with mobile sinks.
EURASIP J. Wirel. Commun. Netw., 2020

2019
Editorial Message: Special Issue on Advances in Intelligent Fuzzy Systems.
Int. J. Fuzzy Syst., 2019

IPFCM Clustering Algorithm Under Euclidean and Hausdorff Distance Measure for Symbolic Interval Data.
Int. J. Fuzzy Syst., 2019

Nonlinear Principal Component Analysis Based Deep Associative Memory.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

2017
Real time human tracking using improved CAM-shift.
Proceedings of the Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, 2017

An obstacle avoidance of large-scale indoor tricycle drive cleaning robot using laser scanner.
Proceedings of the Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, 2017

2016
Editorial Message: IJFS Journal Information and Best Paper Award.
Int. J. Fuzzy Syst., 2016

Improved radial basis function network for the heteroscedasticity noises.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015
Parameter Estimation of Chaotic Dynamical Systems Using HEQPSO.
J. Inf. Sci. Eng., 2015

iOS based Multi-Cloud Manage System.
Proceedings of the New Trends on System Sciences and Engineering, 2015

The Feature Selection with Multi-Granulation for Interval-Value Data.
Proceedings of the New Trends on System Sciences and Engineering, 2015

Feature genes selection of adult ALL microarray data with affinity propagation clustering.
Proceedings of the IEEE International Conference on Consumer Electronics - Taiwan, 2015

2014
iPhone as Multi-CAM and Multi-viewer.
Proceedings of the Advanced Intelligent Systems, 2014

Feature genes selection and classification with SVM for microarray data of lung tissue.
Proceedings of the 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS), 2014

Robust interval support vector interval regression networks for interval-valued data with outliers.
Proceedings of the 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS), 2014

LTS-SVM learning mechanism with wavelet for modeling of nonlinear systems with noise and outliers.
Proceedings of the 11th IEEE International Conference on Control & Automation, 2014

2013
Modified quantum-behaved particle swarm optimization for parameters estimation of generalized nonlinear multi-regressions model based on Choquet integral with outliers.
Appl. Math. Comput., 2013

Video car recorder in iPhone.
Proceedings of the IEEE International Symposium on Consumer Electronics, 2013

The voice communication switch with peak power analysis on smart phone systems.
Proceedings of the IEEE International Symposium on Consumer Electronics, 2013

Robust radial basis function networks based on least trimmed squares-support vector regression.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

2012
Radial Basis Function Networks With Linear Interval Regression Weights for Symbolic Interval Data.
IEEE Trans. Syst. Man Cybern. Part B, 2012

2011
Modeling of Nonlinear Aggregation for Information Fusion Systems with Outliers Based on the Choquet Integral.
Sensors, 2011

Radial basis function networks with hybrid learning for system identification with outliers.
Appl. Soft Comput., 2011

Modeling of fuzzy integral based nonlinear multi-regressions systems with QPSO-GS.
Proceedings of the FUZZ-IEEE 2011, 2011

A Fast Identification Algorithm with Skewness Noises under Box-Cox Transformation-Based Annealing Robust Fuzzy Neural Networks.
Proceedings of the Next Wave in Robotics - 14th FIRA RoboWorld Congress, 2011

2010
Hybrid SVMR-GPR for modeling of chaotic time series systems with noise and outliers.
Neurocomputing, 2010

Interval competitive agglomeration clustering algorithm.
Expert Syst. Appl., 2010

ARFNNs with SVR for prediction of chaotic time series with outliers.
Expert Syst. Appl., 2010

A fast parameter estimation for nonlinear multi-regressions based on the Choquet integral with quantum-behaved particle swarm optimization.
Artif. Life Robotics, 2010

Hybrid robust LS-SVMR with outliers for MIMO system.
Proceedings of the IEEE International Conference on Systems, 2010

Hybrid SVM-GPs learning for modeling of mitogen-activated protein kinases systems with noise.
Proceedings of the IEEE International Conference on Systems, 2010

On learning analysis of neural fuzzy systems.
Proceedings of the FUZZ-IEEE 2010, 2010

2009
Robust neural-fuzzy method for function approximation.
Expert Syst. Appl., 2009

Hybrid robust approach for TSK fuzzy modeling with outliers.
Expert Syst. Appl., 2009

Identification of MIMO systems using radial basis function networks with hybrid learning algorithm.
Appl. Math. Comput., 2009

ARRBFNs with SVR for prediction of chaotic time series with outliers.
Artif. Life Robotics, 2009

A fast identification algorithm with outliers under Box-Cox transformation-based annealing robust radial basis function networks.
Artif. Life Robotics, 2009

Hybrid SVM-GPs learning for modeling of molecular autoregulatory feedback loop systems with outliers.
Proceedings of the FUZZ-IEEE 2009, 2009

Robust clustering algorithm for the symbolic interval-values data with outliers.
Proceedings of the FUZZ-IEEE 2009, 2009

2008
Hybrid support vector machines learning for fuzzy neural networks with outliers.
Proceedings of the FUZZ-IEEE 2008, 2008

Robust least squares-support vector machines for regression with outliers.
Proceedings of the FUZZ-IEEE 2008, 2008

2007
CPBUM neural networks for modeling with outliers and noise.
Appl. Soft Comput., 2007

Annealing robust fuzzy neural networks for modeling of molecular biology systems.
Proceedings of the IEEE International Conference on Systems, 2007

Annealing Robust Fuzzy Basis Function for Modeling of Molecular Autoregulatory Feedback Loop Systems with Outliers.
Proceedings of the FUZZ-IEEE 2007, 2007

Integration of CMAC-GBF and Support Vector Regression Techniques.
Proceedings of the FUZZ-IEEE 2007, 2007

2006
Hybrid approach of selecting hyperparameters of support vector machine for regression.
IEEE Trans. Syst. Man Cybern. Part B, 2006

Annealing robust fuzzy basis function for modelling with noise and outliers.
Int. J. Comput. Appl. Technol., 2006

Support Vector Regression for Controller Approximation.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

Discretizing Continuous-time Controllers via Annealing Robust Walsh Function Networks.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

2005
Classification of Ovarian Cancer based on Intelligent Systems with Microarray Data.
Proceedings of the IEEE International Conference on Systems, 2005

Dimension Reduction with Support Vector Regression for Ovarian Cancer Microarray Data.
Proceedings of the IEEE International Conference on Systems, 2005

Annealing robust Walsh function networks for modeling with outliers and digital implementation.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005

2004
Annealing robust radial basis function networks for function approximation with outliers.
Neurocomputing, 2004

2003
Support vector interval regression networks for interval regression analysis.
Fuzzy Sets Syst., 2003

A new annealing robust fuzzy basis function for modeling with outliers.
Proceedings of the IEEE International Conference on Systems, 2003

Annealing robust nonlinear adaptive inverse control with FNNBSVR for magnetic bearing systems.
Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation: Computational Intelligence in Robotics and Automation for the New Millennium, 2003

Adaptive fuzzy regression clustering algorithm for TSK fuzzy modeling.
Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation: Computational Intelligence in Robotics and Automation for the New Millennium, 2003

2002
Robust support vector regression networks for function approximation with outliers.
IEEE Trans. Neural Networks, 2002

2000
Control of magnetic bearing systems via the Chebyshev polynomial-based unified model (CPBUM) neural network.
IEEE Trans. Syst. Man Cybern. Part B, 2000

A new neural structure with parallel and serial output via functional CPBUM neural network.
Proceedings of the IEEE International Conference on Systems, 2000

Design of fuzzy controller via universal regulators for the incomplete information nonlinear systems.
Proceedings of the Ninth IEEE International Conference on Fuzzy Systems, 2000

1999
A neural gain scheduling network controller for nonholonomic systems.
IEEE Trans. Syst. Man Cybern. Part A, 1999

An approximate equivalence neural network to conventional neural network for the worst-case identification and control of nonlinear system.
Proceedings of the International Joint Conference Neural Networks, 1999

1998
The Chebyshev-polynomials-based unified model neural networks for function approximation.
IEEE Trans. Syst. Man Cybern. Part B, 1998

1997
Mixing input-output pseudolinearization and gain scheduling techniques for stabilization of mobile robots with two independently driven wheels.
Robotica, 1997


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