Chao-Ton Su

According to our database1, Chao-Ton Su authored at least 49 papers between 1998 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.



In proceedings 
PhD thesis 




Real-time scheduling for a smart factory using a reinforcement learning approach.
Computers & Industrial Engineering, 2018

Distance-based margin support vector machine for classification.
Applied Mathematics and Computation, 2016

Location selection using fuzzy-connective-based aggregation networks: a case study of the food and beverage chain industry in Taiwan.
Neural Computing and Applications, 2015

Improving the reliability of electronic paper display using FMEA and Taguchi methods: A case study.
Microelectronics Reliability, 2014

A new particle swarm feature selection method for classification.
J. Intell. Inf. Syst., 2014

Rule extraction from support vector machines by genetic algorithms.
Neural Computing and Applications, 2013

A selective Bayes classifier with meta-heuristics for incomplete data.
Neurocomputing, 2013

Parameter Optimization Design for Touch Panel Laser Cutting Process.
IEEE Trans. Automation Science and Engineering, 2012

Rule extraction algorithm from support vector machines and its application to credit screening.
Soft Comput., 2012

Integrated fuzzy-connective-based aggregation network with real-valued genetic algorithm for quality of life evaluation.
Neural Computing and Applications, 2012

Particle swarm optimization for feature selection with application in obstructive sleep apnea diagnosis.
Neural Computing and Applications, 2012

Optimization of the bistability property for flexible display by an integrated approach using Taguchi methods, neural networks and genetic algorithms.
Microelectronics Reliability, 2012

Data Mining Techniques for Assisting the Diagnosis of Pressure Ulcer Development in Surgical Patients.
J. Medical Systems, 2012

Applying HFMEA to Prevent Chemotherapy Errors.
J. Medical Systems, 2012

An improved particle swarm optimization for feature selection.
Intell. Data Anal., 2012

Parameter optimization of continuous sputtering process based on Taguchi methods, neural networks, desirability function, and genetic algorithms.
Expert Syst. Appl., 2012

Prediagnosis of Obstructive Sleep Apnea via Multiclass MTS.
Comp. Math. Methods in Medicine, 2012

An Adaptive Forecast-Based Chart for Non-Gaussian Processes Monitoring: With Application to Equipment Malfunctions Detection in a Thermal Power Plant.
IEEE Trans. Contr. Sys. Techn., 2011

Optimization of the Cu wire bonding process for IC assembly using Taguchi methods.
Microelectronics Reliability, 2011

An Application of Artificial Immune Recognition System for Prediction of Diabetes Following Gestational Diabetes.
J. Medical Systems, 2011

Applying electromagnetism-like mechanism for feature selection.
Inf. Sci., 2011

The application of rough set and Mahalanobis distance to enhance the quality of OSA diagnosis.
Expert Syst. Appl., 2011

Multiclass MTS for Saxophone Timbre Quality Inspection Using Waveform-shape-based Features.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2009

Multiclass MTS for Simultaneous Feature Selection and Classification.
IEEE Trans. Knowl. Data Eng., 2009

Feature selection for the SVM: An application to hypertension diagnosis.
Expert Syst. Appl., 2008

A systematic methodology for the creation of Six Sigma projects: A case study of semiconductor foundry.
Expert Syst. Appl., 2008

An Evaluation of the Robustness of MTS for Imbalanced Data.
IEEE Trans. Knowl. Data Eng., 2007

Managing product and customer knowledge in innovative new product development.
IJTM, 2007

Performance evaluation of a multi-echelon production, transportation and distribution system: A matrix analytical approach.
European Journal of Operational Research, 2007

Knowledge acquisition through information granulation for imbalanced data.
Expert Syst. Appl., 2006

Data mining for the diagnosis of type II diabetes from three-dimensional body surface anthropometrical scanning data.
Computers & Mathematics with Applications, 2006

A neural network based information granulation approach to shorten the cellular phone test process.
Computers in Industry, 2006

An Extended Chi2 Algorithm for Discretization of Real Value Attributes.
IEEE Trans. Knowl. Data Eng., 2005

Effective approaches for low temperature polysilicon TFT LCD post-mapping yield control problem.
IEEE Trans. Automation Science and Engineering, 2005

Applying neural network and scatter search to optimize parameter design with dynamic characteristics.
JORS, 2005

Correlation and the time interval in multiple regression models.
European Journal of Operational Research, 2005

Optimizing the IC wire bonding process using a neural networks/genetic algorithms approach.
J. Intelligent Manufacturing, 2003

Did your efforts really win customers' satisfaction?
Industrial Management and Data Systems, 2003

A novel approach for optimizing the optical performance of the broadband tap coupler.
Int. J. Systems Science, 2003

An enhanced knowledge representation for decision-tree based learning adaptive scheduling.
Int. J. Computer Integrated Manufacturing, 2003

Optimization of TQFP molding process using neuro-fuzzy-GA approach.
European Journal of Operational Research, 2003

Applying robust multi-response quality engineering for parameter selection using a novel neural-genetic algorithm.
Computers in Industry, 2003

Determination of the optimal burn-in time and cost using an environmental stress approach: a case study in switch mode rectifier.
Rel. Eng. & Sys. Safety, 2002

Implementation of a customer satisfaction program: a case study.
Industrial Management and Data Systems, 2002

TQM in Taiwan's computer and its peripheral industry.
Industrial Management and Data Systems, 2001

Optimization of parameter design: an intelligent approach using neural network and simulated annealing.
Int. J. Systems Science, 2000

Minimization of the life cycle cost for a multistate system under periodic maintenance.
Int. J. Systems Science, 2000

Multiaction maintenance subject to action-dependent risk and stochastic failure.
European Journal of Operational Research, 2000

A novel neural network model using Box-Jenkins technique and response surface methodology to predict unemployment rate.
Proceedings of the Tenth IEEE International Conference on Tools with Artificial Intelligence, 1998