Pei-Chann Chang

Orcid: 0000-0002-9900-3513

According to our database1, Pei-Chann Chang authored at least 144 papers between 1993 and 2020.

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

Timeline

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Bibliography

2020
A cluster validity evaluation method for dynamically determining the near-optimal number of clusters.
Soft Comput., 2020

2019
Bike sharing demand prediction using artificial immune system and artificial neural network.
Soft Comput., 2019

The application of VIKOR for the tool selection in lean management.
J. Intell. Manuf., 2019

An Improved FP-Growth Algorithm Based on Projection Database Mining in Big Data.
J. Inf. Hiding Multim. Signal Process., 2019

A novel complex network community detection approach using discrete particle swarm optimization with particle diversity and mutation.
Appl. Soft Comput., 2019

2018
A multiple time series-based recurrent neural network for short-term load forecasting.
Soft Comput., 2018

A novel ensemble decision tree based on under-sampling and clonal selection for web spam detection.
Pattern Anal. Appl., 2018

A Deep Recurrent Neural Network for Air Quality Classification.
J. Inf. Hiding Multim. Signal Process., 2018

2017
A patent quality classification model based on an artificial immune system.
Soft Comput., 2017

Imperial competitive algorithm with policy learning for the traveling salesman problem.
Soft Comput., 2017

A multi-objective artificial bee colony algorithm for parallel batch-processing machine scheduling in fabric dyeing processes.
Knowl. Based Syst., 2017

Assessment approach to stage of lean transformation cycle based on fuzzy nearness degree and TOPSIS.
Int. J. Prod. Res., 2017

Local search enhanced multi-objective PSO algorithm for scheduling textile production processes with environmental considerations.
Appl. Soft Comput., 2017

2016
Artificial immune network with feature selection for bank term deposit recommendation.
J. Intell. Inf. Syst., 2016

Sustainable scheduling of manufacturing and transportation systems.
Eur. J. Oper. Res., 2016

The dynamic financial distress prediction method of EBW-VSTW-SVM.
Enterp. Inf. Syst., 2016

A genetic algorithm for the multi-objective optimization of mixed-model assembly line based on the mental workload.
Eng. Appl. Artif. Intell., 2016

A population-based incremental learning approach with artificial immune system for network intrusion detection.
Eng. Appl. Artif. Intell., 2016

A Hybrid Territory Defined evolutionary algorithm approach for closed loop green supply chain network design.
Comput. Ind. Eng., 2016

A patent quality analysis and classification system using self-organizing maps with support vector machine.
Appl. Soft Comput., 2016

A Takagi-Sugeno fuzzy model combined with a support vector regression for stock trading forecasting.
Appl. Soft Comput., 2016

A Hybrid Course Recommendation System by Integrating Collaborative Filtering and Artificial Immune Systems.
Algorithms, 2016

A Hybrid Model Combining SOMs with SVRs for Patent Quality Analysis and Classification.
Proceedings of the Data Mining and Big Data, First International Conference, 2016

2015
A critical feature extraction by kernel PCA in stock trading model.
Soft Comput., 2015

Dynamic credit scoring using B & B with incremental-SVM-ensemble.
Kybernetes, 2015

Harnessing consumer reviews for marketing intelligence: a domain-adapted sentiment classification approach.
Inf. Syst. E Bus. Manag., 2015

A linkage mining in block-based evolutionary algorithm for permutation flowshop scheduling problem.
Comput. Ind. Eng., 2015

Applying artificial immune systems to collaborative filtering for movie recommendation.
Adv. Eng. Informatics, 2015

A Prediction System for Bike Sharing Using Artificial Immune System with Regression Trees.
Proceedings of the IIAI 4th International Congress on Advanced Applied Informatics, 2015

A patent quality classification model based on artificial immune system.
Proceedings of the ASE BigData & SocialInformatics 2015, 2015

Data Analytics for Bank Term Deposit by Combining Artificial Immune Network and Collaborative Filtering.
Proceedings of the ASE BigData & SocialInformatics 2015, 2015

2014
A block based estimation of distribution algorithm using bivariate model for scheduling problems.
Soft Comput., 2014

A self-evolving artificial immune system II with T-cell and B-cell for permutation flow-shop problem.
J. Intell. Manuf., 2014

An intelligent stock trading system using comprehensive features.
Appl. Soft Comput., 2014

A comparison of five hybrid metaheuristic algorithms for unrelated parallel-machine scheduling and inbound trucks sequencing in multi-door cross docking systems.
Appl. Soft Comput., 2014

Myocardial Infarction Classification by Morphological Feature Extraction from Big 12-Lead ECG Data.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2014

Comparative Analysis of 3D-Culture System for Murine Neonatal Heart Regeneration: A Systematic Approach for Big Gene Expression Data.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2014

The weighted Support Vector Machines for the stock turning point prediction.
Proceedings of the 14th International Conference on Intelligent Systems Design and Applications, 2014

Innovation values in the radio frequency identification device industry.
Proceedings of the IEEE 18th International Conference on Computer Supported Cooperative Work in Design, 2014

Application of artificial immune systems combines collaborative filtering in movie recommendation system.
Proceedings of the IEEE 18th International Conference on Computer Supported Cooperative Work in Design, 2014

2013
Using a contextual entropy model to expand emotion words and their intensity for the sentiment classification of stock market news.
Knowl. Based Syst., 2013

Production planning optimization for manufacturing and remanufacturing system in stochastic environment.
J. Intell. Manuf., 2013

Iterated time series prediction with multiple support vector regression models.
Neurocomputing, 2013

The stability analysis for a novel feedback neural network with partial connection.
Neurocomputing, 2013

A block-based evolutionary algorithm for flow-shop scheduling problem.
Appl. Soft Comput., 2013

2012
Kernel Sparse Representation-Based Classifier.
IEEE Trans. Signal Process., 2012

Detecting causality from online psychiatric texts using inter-sentential language patterns.
BMC Medical Informatics Decis. Mak., 2012

Forecasting of manufacturing cost in mobile phone products by case-based reasoning and artificial neural network models.
J. Intell. Manuf., 2012

Developing a varietal GA with ESMA strategy for solving the pick and place problem in printed circuit board assembly line.
J. Intell. Manuf., 2012

A Puzzle-Based Genetic Algorithm with Block Mining and Recombination Heuristic for the Traveling Salesman Problem.
J. Comput. Sci. Technol., 2012

A novel model by evolving partially connected neural network for stock price trend forecasting.
Expert Syst. Appl., 2012

A Self-guided Genetic Algorithm for permutation flowshop scheduling problems.
Comput. Oper. Res., 2012

An attribute weight assignment and particle swarm optimization algorithm for medical database classifications.
Comput. Methods Programs Biomed., 2012

Extended artificial chromosomes genetic algorithm for permutation flowshop scheduling problems.
Comput. Ind. Eng., 2012

Two hybrid differential evolution algorithms for optimal inbound and outbound truck sequencing in cross docking operations.
Appl. Soft Comput., 2012

Myocardial infarction classification with multi-lead ECG using hidden Markov models and Gaussian mixture models.
Appl. Soft Comput., 2012

2011
Single-machine scheduling with past-sequence-dependent setup times and learning effects: a parametric analysis.
Int. J. Syst. Sci., 2011

Generalized nonlinear discriminant analysis and its small sample size problems.
Neurocomputing, 2011

Trend discovery in financial time series data using a case based fuzzy decision tree.
Expert Syst. Appl., 2011

EA/G-GA for Single Machine Scheduling Problems with Earliness/Tardiness Costs.
Entropy, 2011

A hybrid model combining case-based reasoning and fuzzy decision tree for medical data classification.
Appl. Soft Comput., 2011

A dynamic threshold decision system for stock trading signal detection.
Appl. Soft Comput., 2011

Integrating dominance properties with genetic algorithms for parallel machine scheduling problems with setup times.
Appl. Soft Comput., 2011

A Partially Connected Neural Evolutionary Network for Stock Price Index Forecasting.
Proceedings of the Bio-Inspired Computing and Applications, 2011

2010
Database Classification by Integrating a Case-Based Reasoning and Support Vector Machine for Induction.
J. Circuits Syst. Comput., 2010

Density-based microaggregation for statistical disclosure control.
Expert Syst. Appl., 2010

Comparison of microaggregation approaches on anonymized data quality.
Expert Syst. Appl., 2010

Guidelines for developing effective Estimation of Distribution Algorithms in solving single machine scheduling problems.
Expert Syst. Appl., 2010

Dynamic diversity control in genetic algorithm for mining unsearched solution space in TSP problems.
Expert Syst. Appl., 2010

A CBR-based fuzzy decision tree approach for database classification.
Expert Syst. Appl., 2010

Generating artificial chromosomes with probability control in genetic algorithm for machine scheduling problems.
Ann. Oper. Res., 2010

Atrial Fibrillation Analysis Based on Blind Source Separation in 12-Lead ECG Data.
Proceedings of the Medical Biometrics, Second International Conference, 2010

2009
Integrating a Piecewise Linear Representation Method and a Neural Network Model for Stock Trading Points Prediction.
IEEE Trans. Syst. Man Cybern. Part C, 2009

Data clustering and fuzzy neural network for sales forecasting: A case study in printed circuit board industry.
Knowl. Based Syst., 2009

Evolving CBR and data segmentation by SOM for flow time prediction in semiconductor manufacturing factory.
J. Intell. Manuf., 2009

Consistent data operations for multi-databases in extended possibility-based data models.
Expert Syst. Appl., 2009

Minimizing a nonlinear function under a fuzzy max-t-norm relational equation constraint.
Expert Syst. Appl., 2009

Evolving and clustering fuzzy decision tree for financial time series data forecasting.
Expert Syst. Appl., 2009

A neural network with a case based dynamic window for stock trading prediction.
Expert Syst. Appl., 2009

Artificial chromosomes embedded in genetic algorithm for a chip resistor scheduling problem in minimizing the makespan.
Expert Syst. Appl., 2009

A hybrid electromagnetism-like algorithm for single machine scheduling problem.
Expert Syst. Appl., 2009

Bi-criteria single machine scheduling problem with a learning effect: Aneja-Nair method to obtain the set of optimal sequences.
Comput. Math. Appl., 2009

The development of a sub-population genetic algorithm II (SPGA II) for multi-objective combinatorial problems.
Appl. Soft Comput., 2009

Application of a Case Base Reasoning Based Support Vector Machine for Financial Time Series Data Forecasting.
Proceedings of the Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence, 2009

An Ensemble of Neural Networks for Stock Trading Decision Making.
Proceedings of the Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence, 2009

A Hybrid Genetic-Immune Algorithm with Improved Offsprings and Elitist Antigen for Flow-Shop Scheduling Problems.
Proceedings of the 11th IEEE International Conference on High Performance Computing and Communications, 2009

A Varietal Genetic Algorithm by External Self-Evolving Multiple-Archives for Combinatorial Optimization Problems.
Proceedings of the 11th IEEE International Conference on High Performance Computing and Communications, 2009

A Hybrid System with Hidden Markov Models and Gaussian Mixture Models for Myocardial Infarction Classification with 12-Lead ECGs.
Proceedings of the 11th IEEE International Conference on High Performance Computing and Communications, 2009

A Fuzzy Multiple Criteria Decision Making Model for Selecting the Distribution Center Location in China: A Taiwanese Manufacturer's Perspective.
Proceedings of the Human Interface and the Management of Information. Information and Interaction, 2009

Evolving Neural Network with Dynamic Time Warping and Piecewise Linear Representation System for Stock Trading Decision Making.
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

A two-phase genetic-immune algorithm with improved survival strategy of lifespan for flow-shop scheduling problems.
Proceedings of the 2009 IEEE Symposium on Computational Intelligence in Scheduling, 2009

A Self-guided genetic algorithm with dominance properties for single machine scheduling problems.
Proceedings of the 2009 IEEE Symposium on Computational Intelligence in Scheduling, 2009

A self-guided genetic algorithm for flowshop scheduling problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

A Weighted Evolving Fuzzy Neural Network for Electricity Demand Forecasting.
Proceedings of the First Asian Conference on Intelligent Information and Database Systems, 2009

2008
A Hybrid System Integrating a Wavelet and TSK Fuzzy Rules for Stock Price Forecasting.
IEEE Trans. Syst. Man Cybern. Part C, 2008

A case-based evolutionary model for defect classification of printed circuit board images.
J. Intell. Manuf., 2008

A simulated annealing approach with probability matrix for semiconductor dynamic scheduling problem.
Expert Syst. Appl., 2008

A fuzzy case-based reasoning model for sales forecasting in print circuit board industries.
Expert Syst. Appl., 2008

A TSK type fuzzy rule based system for stock price prediction.
Expert Syst. Appl., 2008

Mining gene structures to inject artificial chromosomes for genetic algorithm in single machine scheduling problems.
Appl. Soft Comput., 2008

Genetic algorithm integrated with artificial chromosomes for multi-objective flowshop scheduling problems.
Appl. Math. Comput., 2008

Integrating a Piecewise Linear Representation Method with Dynamic Time Warping System for Stock Trading Decision Making.
Proceedings of the Fourth International Conference on Natural Computation, 2008

Self-Guided Genetic Algorithm.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008

Data Clustering and Evolving Fuzzy Decision Tree for Data Base Classification Problems.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques, 2008

A hybrid system by integrating case based reasoning and fuzzy decision tree for financial time series data.
Proceedings of the FUZZ-IEEE 2008, 2008

Constraints for data operations in extended possibility-based databases.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Dynamic diversity control by injecting artificial chromosomes for solving TSP problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

MOEA/D for flowshop scheduling problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
The development of a weighted evolving fuzzy neural network for PCB sales forecasting.
Expert Syst. Appl., 2007

Sub-population genetic algorithm with mining gene structures for multiobjective flowshop scheduling problems.
Expert Syst. Appl., 2007

Adaptive multi-objective genetic algorithms for scheduling of drilling operation in printed circuit board industry.
Appl. Soft Comput., 2007

A Hybrid Electromagnetism-Like Algorithm for Single Machine Scheduling Problem.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007

Sales Forecasting for TFT-LCD Products with a Hybrid Neural Network Model.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques, 2007

Financial Time Series Data Forecasting by Wavelet and TSK Fuzzy Rule Based System.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

A Genetic Algorithm with Dominance Properties for Single Machine Scheduling Problems.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Scheduling, 2007

A Genetic Algorithm with Injecting Artificial Chromosomes for Single Machine Scheduling Problems.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Scheduling, 2007

Data Clustering and Fuzzy Neural Network for Sales Forecasting in Printed Circuit Board Industry.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

2006
An evolutionary regulation algorithm for the twin laser measuring system.
J. Intell. Manuf., 2006

Fuzzy Delphi and back-propagation model for sales forecasting in PCB industry.
Expert Syst. Appl., 2006

A hybrid model by clustering and evolving fuzzy rules for sales decision supports in printed circuit board industry.
Decis. Support Syst., 2006

A hybrid system by evolving case-based reasoning with genetic algorithm in wholesaler's returning book forecasting.
Decis. Support Syst., 2006

Combining SOM and fuzzy rule base for flow time prediction in semiconductor manufacturing factory.
Appl. Soft Comput., 2006

Combining SOM and GA-CBR for Flow Time Prediction in Semiconductor Manufacturing Factory.
Proceedings of the Rough Sets and Current Trends in Computing, 2006

Genetic Local Search Algorithms for Single Machine Scheduling Problems with Release Time.
Proceedings of the Knowledge Enterprise: Intelligent Strategies in Product Design, 2006

A Global Archive Sub-Population Genetic Algorithm with Adaptive Strategy in Multi-objective Parallel-Machine Scheduling Problem.
Proceedings of the Advances in Natural Computation, Second International Conference, 2006

Integration of Genetic Algorithm and Neural Network for Financial Early Warning System: An Example of Taiwanese Banking Industry.
Proceedings of the First International Conference on Innovative Computing, Information and Control (ICICIC 2006), 30 August, 2006

The Development of a Weighted Evolving Fuzzy Neural Network.
Proceedings of the Computational Intelligence, 2006

A Case-Based Seat Allocation System for Airline Revenue Management.
Proceedings of the Intelligent Computing, 2006

2005
Evolving fuzzy rules for due-date assignment problem in semiconductor manufacturing factory.
J. Intell. Manuf., 2005

Evolving neural network for printed circuit board sales forecasting.
Expert Syst. Appl., 2005

A hybrid system combining self-organizing maps with case-based reasoning in wholesaler's new-release book forecasting.
Expert Syst. Appl., 2005

Two-phase sub population genetic algorithm for parallel machine-scheduling problem.
Expert Syst. Appl., 2005

Combining SOM and Fuzzy Rule Base for Sale Forecasting in Printed Circuit Board Industry.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Evolving Case-Based Reasoning with Genetic Algorithm in Wholesaler's Returning Book Forecasting.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

New Operators for Faster Convergence and Better Solution Quality in Modified Genetic Algorithm.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Fuzzy Back-Propagation Network for PCB Sales Forecasting.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Applying a Hybrid Ant Colony System to the Vehicle Routing Problem.
Proceedings of the Computational Science and Its Applications, 2005

Dynamic Scheduling Problem of Batch Processing Machine in Semiconductor Burn-in Operations.
Proceedings of the Computational Science and Its Applications, 2005

2003
A case-based expert support system for due-date assignment in a wafer fabrication factory.
J. Intell. Manuf., 2003

Special issue on "Soft Computing in Manufacturing Enterprise Systems".
Appl. Soft Comput., 2003

Genetic algorithms applied in BOPP film scheduling problems: minimizing total absolute deviation and setup times.
Appl. Soft Comput., 2003

2002
Generation of Fuzzy Due-date Assignment Rules.
Proceedings of the FSDK'02, 2002

2001
A Case-Based Reasoning Approach for Due-Date Assignment in a Wafer Fabrication Factory.
Proceedings of the Case-Based Reasoning Research and Development, 2001

1993
One-machine rescheduling heuristics with efficiency and stability as criteria.
Comput. Oper. Res., 1993


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