Ping-Feng Pai

Orcid: 0000-0002-4020-3326

According to our database1, Ping-Feng Pai authored at least 49 papers between 2005 and 2023.

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

Timeline

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Bibliography

2023
Forecasting inflation rates be extreme gradient boosting with the genetic algorithm.
J. Ambient Intell. Humaniz. Comput., March, 2023

2020
Using the Least Squares Support Vector Regression to Forecast Movie Sales with Data from Twitter and Movie Databases.
Symmetry, 2020

2019
Deep Belief Networks With Genetic Algorithms in Forecasting Wind Speed.
IEEE Access, 2019

2018
Using Internet Search Trends and Historical Trading Data for Predicting Stock Markets by the Least Squares Support Vector Regression Model.
Comput. Intell. Neurosci., 2018

Predicting Vehicle Sales by Sentiment Analysis of Twitter Data and Stock Market Values.
IEEE Access, 2018

2017
Analyzing basketball games by a support vector machines with decision tree model.
Neural Comput. Appl., 2017

2016
A hybrid data mining model in analyzing corporate social responsibility.
Neural Comput. Appl., 2016

2015
Credit Rating Analysis by the Decision-Tree Support Vector Machine with Ensemble Strategies.
Int. J. Fuzzy Syst., 2015

2014
Enhancing decisions with life cycle analysis for risk management.
Neural Comput. Appl., 2014

A group decision classifier with particle swarm optimization and decision tree for analyzing achievements in mathematics and science.
Neural Comput. Appl., 2014

Applying linguistic information and intersection concept to improve effectiveness of multi-criteria decision analysis technology.
Int. J. Inf. Technol. Decis. Mak., 2014

Tourism demand forecasting using novel hybrid system.
Expert Syst. Appl., 2014

Deal with Linguistic Multi-Criteria Decision Making Problem Based on Sequential Multi-person Game Methodology.
Proceedings of the Modern Advances in Applied Intelligence, 2014

2013
Revenue forecasting using a least-squares support vector regression model in a fuzzy environment.
Inf. Sci., 2013

Improving project-profit prediction using a two-stage forecasting system.
Comput. Ind. Eng., 2013

Extending the strategy game from multi-criteria considerations with linguistic variables.
Proceedings of the 10th International Conference on Fuzzy Systems and Knowledge Discovery, 2013

2012
Combining fuzzy weight average with fuzzy inference system for material substitution selection in electric industry.
Comput. Ind. Eng., 2012

2011
An Enhanced Support Vector Machines Model for Classification and Rule Generation.
Proceedings of the Computational Optimization, Methods and Algorithms, 2011

A support vector machine-based model for detecting top management fraud.
Knowl. Based Syst., 2011

A hybrid kernel principal component analysis and support vector machine model for analysing sonographic features of parotid glands in Sjogren's syndrome.
Int. J. Math. Model. Numer. Optimisation, 2011

Forecasting concentrations of air pollutants by logarithm support vector regression with immune algorithms.
Appl. Math. Comput., 2011

Handling fuzzy decision making problem based on linguistic information and intersection concept.
Proceedings of the FUZZ-IEEE 2011, 2011

Applying multi-criteria decision classifier in multi-class classification.
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

2010
An improved support vector machines model in medical data analysis.
Int. J. Math. Model. Numer. Optimisation, 2010

An Integrated Methodology using Linguistic PROMETHEE and Maximum Deviation Method for Third-party Logistics Supplier Selection.
Int. J. Comput. Intell. Syst., 2010

Time series forecasting by a seasonal support vector regression model.
Expert Syst. Appl., 2010

Analyzing foreign exchange rates by rough set theory and directed acyclic graph support vector machines.
Expert Syst. Appl., 2010

A fuzzy support vector regression model for business cycle predictions.
Expert Syst. Appl., 2010

A simulation of vendor managed inventory dynamics using fuzzy arithmetic operations with genetic algorithms.
Expert Syst. Appl., 2010

Analyzing academic achievement of junior high school students by an improved rough set model.
Comput. Educ., 2010

Computer-assisted audit techniques based on an enhanced rough set model.
Proceedings of the International Conference on Networked Computing and Advanced Information Management, 2010

2009
Forecasting output of integrated circuit industry by support vector regression models with marriage honey-bees optimization algorithms.
Expert Syst. Appl., 2009

Rough set theory with discriminant analysis in analyzing electricity loads.
Expert Syst. Appl., 2009

Management of Wireless Local Area Networks by Artificial Neural Networks with Principal Components Analysis.
Proceedings of the First Asian Conference on Intelligent Information and Database Systems, 2009

2007
Continuous Ant Colony Optimization in a SVR Urban Traffic Forecasting Model.
Proceedings of the Computational and Ambient Intelligence, 2007

Using Support Vector Machines and Rough Sets Theory for Classifying Faulty Types of Diesel Engine.
Proceedings of the Computational Science and Its Applications, 2007

Potential Assessment of an Ellipsoidal Neural Fuzzy Time Series Model for Freeway Traffic Prediction.
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

Composite of support vector regression and evolutionary algorithms in car-rental revenue forecasting.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Application of Hybrid Learning Neural Fuzzy Systems in Reliability Prediction.
Qual. Reliab. Eng. Int., 2006

System reliability forecasting by support vector machines with genetic algorithms.
Math. Comput. Model., 2006

Software reliability forecasting by support vector machines with simulated annealing algorithms.
J. Syst. Softw., 2006

Applying fuzzy arithmetic to the system dynamics for the customer-producer-employment model.
Int. J. Syst. Sci., 2006

Feasibility Assessment of Support Vector Regression Models with Immune Algorithms in Predicting Fatigue Life of Composites.
Proceedings of the 2006 Joint Conference on Information Sciences, 2006

Using Directed Acyclic Graph Support Vector Machines with Tabu Search for Classifying Faulty Product Types.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Highway traffic forecasting by support vector regression model with tabu search algorithms.
Proceedings of the International Joint Conference on Neural Networks, 2006

2005
Forecasting Electric Load by Support Vector Machines with Genetic Algorithms.
J. Adv. Comput. Intell. Intell. Informatics, 2005

Application of Support Vector Machines in Predicting Employee Turnover Based on Job Performance.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Recurrent Support Vector Machines in Reliability Prediction.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Forecasting Tourism Demand Using a Multifactor Support Vector Machine Model.
Proceedings of the Computational Intelligence and Security, International Conference, 2005


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