Ping-Feng Pai

发表

A hybrid ARIMA and support vector machines model in stock price forecasting

Ping-Feng Pai, Chih-Sheng Lin, 2005 .

A RELEVANCE VECTOR MACHINE WITH ROUGH SET THEORY MODEL IN ANALYZING THE LIFE CYCLE OF NEW ECONOMIC FIRMS

Ping-Feng Pai, Ming-Fu Hsu, Wei-Shih Chung, 2013 .

Rule Generation Based on Novel Two-Stage Model

Ping-Feng Pai, Kuo-Ping Lin, Ching-Lin Lin, 2013 .

Part-machine family formation using genetic algorithms in a fuzzy environment

Ping-Teng Chang, Ping-Feng Pai, S. Lee, 2005 .

Adaptive fuzzy systems in group technology

E. Lee, Ping-Feng Pai, E. S. Lee, 2001 .

Intuitionistic Fuzzy C-Least Squares Support Vector Regression with Sammon Mapping Clustering Algorithm

Teresa L. Ju, Chih-Hung Kuo, Ping-Feng Pai, 2015 .

Application of Support Vector Machines in Predicting Employee Turnover Based on Job Performance

Ping-Feng Pai, Wei-Chiang Hong, Shun-Lin Yang, 2005, ICNC.

A two-phase fuzzy decision-making method based on multigranular linguistic assessment

Ping-Feng Pai, Chen-Tung Chen, Wei-Zhan Hung, 2012 .

An improved support vector model in car-rental revenue forecast

Wei‐Chiang Hong, Young-Jou Lai, Ping-Feng Pai, 2007 .

Parts clustering by self-organizing map neural network in a fuzzy environment

E. Lee, Ping-Feng Pai, 2001 .

Hybrid learning fuzzy neural models in stock price forecasting

Ping-Teng Chang, Ping-Feng Pai, Kuo-Ping Lin, 2005 .

RLC Circuit Forecast in Analog IC Packaging and Testing by Machine Learning Techniques

Ping-Feng Pai, Jung-Pin Lai, Yingli Lin, 2022, Micromachines.

Forecasting Hourly Intermittent Rainfall by Deep Belief Networks with Simple Exponential Smoothing

Ping-Feng Pai, Guo-Yu Huang, Chi-Ju Lai, 2022, Water Resources Management.

Applying fuzzy arithmetic to the system dynamics for the customer–producer–employment model

Ping-Feng Pai, Ping-Teng Chang, Kuo-Ping Lin, 2006, Int. J. Syst. Sci..

Using Deep Learning Techniques in Forecasting Stock Markets by Hybrid Data with Multilingual Sentiment Analysis

Ping-Feng Pai, Yingli Lin, Chi-Ju Lai, 2022, Electronics.

A group decision classifier with particle swarm optimization and decision tree for analyzing achievements in mathematics and science

Ping-Feng Pai, Chen-Tung Chen, W. Hung, 2014, Neural Computing and Applications.

A hybrid data mining model in analyzing corporate social responsibility

Ping-Feng Pai, Kuo-Ping Lin, Lei-Chun Chen, 2016, Neural Computing and Applications.

Credit Rating Analysis by the Decision-Tree Support Vector Machine with Ensemble Strategies

Ping-Feng Pai, Ming-Fu Hsu, Yi-Shien Tan, 2015, Int. J. Fuzzy Syst..

Ant colony optimization system for a multi-quantitative and qualitative objective job-shop parallel-machine-scheduling problem

Ping-Feng Pai, Ping-Teng Chang, Kuo-Ping Lin, 2008 .

A hybrid kernel principal component analysis and support vector machine model for analysing sonographic features of parotid glands in Sjogren's syndrome

Jachih Fu, Ping Feng Pai, Ya Hsin Chang, 2011, Int. J. Math. Model. Numer. Optimisation.

An Integrated Methodology using Linguistic PROMETHEE and Maximum Deviation Method for Third-party Logistics Supplier Selection

Ping-Feng Pai, Chen-Tung Chen, Wei-Zhan Hung, 2010, Int. J. Comput. Intell. Syst..

Applying Linguistic VIKOR and Knowledge Map in Personnel Selection

Ping-Feng Pai, Chen-Tung Chen, Wei-Zhan Hung, 2011 .

Applying multi-criteria decision classifier in multi-class classification

Ping-Feng Pai, Chen-Tung Chen, Wei-Zhan Hung, 2011, 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).

Capacitated Lot size problems with fuzzy capacity

Ping-Feng Pai, Ping-Feng Pai, 2003 .

Enhancing decisions with life cycle analysis for risk management

Ping-Feng Pai, Ming-Fu Hsu, Lin Lin, 2013, Neural Computing and Applications.

Sustainable supply chain management using approximate fuzzy DEMATEL method

Ping-Feng Pai, Kuo-Ping Lin, Ming-Lang Tseng, 2018 .

Support Vector Machines with Simulated Annealing Algorithms in Electricity Load Forecasting

Ping-Feng Pai, Wei-Chiang Hong, Wei‐Chiang Hong, 2005 .

Forecasting regional electricity load based on recurrent support vector machines with genetic algorithms

Ping-Feng Pai, Wei-Chiang Hong, Wei‐Chiang Hong, 2005 .

Analyzing basketball games by a support vector machines with decision tree model

Ping-Feng Pai, Kuo-Ping Lin, Lan-Hung ChangLiao, 2017, Neural Computing and Applications.

A Survey of Machine Learning Models in Renewable Energy Predictions

Ping-Feng Pai, Jung-Pin Lai, Yu-Ming Chang, 2020, Applied Sciences.

A solution to the stacking sequence of a composite laminate plate with constant thickness using simulated annealing algorithms

Ping-Feng Pai, Chih-Chiang Lai, Ping-Feng Pai, 2005 .

A recurrent support vector regression model in rainfall forecasting

Ping-Feng Pai, Wei-Chiang Hong, Wei‐Chiang Hong, 2007 .

Predicting engine reliability by support vector machines

Ping-Feng Pai, Wei-Chiang Hong, Wei‐Chiang Hong, 2006 .

Using support vector machines to forecast the production values of the machinery industry in Taiwan

Ping-Feng Pai, Chih-Sheng Lin, Ping-Feng Pai, 2005 .

Forecasting output of integrated circuit industry by support vector regression models with marriage honey-bees optimization algorithms

Ping-Feng Pai, Ping-Teng Chang, Shun-Lin Yang, 2009, Expert Syst. Appl..

Using Machine Learning Models and Actual Transaction Data for Predicting Real Estate Prices

Ping-Feng Pai, Wen-Chang Wang, Ping-Feng Pai, 2020, Applied Sciences.

An improved support vector machines model in medical data analysis

Ping-Feng Pai, Hsin-Hua Chen, Jachih Fu, 2010, Int. J. Math. Model. Numer. Optimisation.

Credit Rating Analysis by the Decision-Tree Support Vector Machine with Ensemble Strategies

Ping-Feng Pai, Ming-Fu Hsu, Yi-Shien Tan, 2015, International Journal of Fuzzy Systems.

A support vector machine-based model for detecting top management fraud

Ping-Feng Pai, Ming-Fu Hsu, Ming-Chieh Wang, 2011, Knowl. Based Syst..

Rough set theory with discriminant analysis in analyzing electricity loads

Ping-Feng Pai, Tai-Chi Chen, Ping-Feng Pai, 2009, Expert Syst. Appl..

The Use of Convolutional Neural Networks and Digital Camera Images in Cataract Detection

Ping-Feng Pai, Chi-Ju Lai, Si-Han Wang, 2022, Electronics.

Potential assessment of the support vector regression technique in rainfall forecasting

Ping-Feng Pai, Wei-Chiang Hong, Wei‐Chiang Hong, 2007 .

Combining fuzzy weight average with fuzzy inference system for material substitution selection in electric industry

Ping-Feng Pai, Kuo-Chen Hung, Kuo-Ping Lin, 2012, Comput. Ind. Eng..

STOCK PRICE FORECASTING IN TAIWAN USING ELLIPSOIDAL FUZZY SYSTEM

Ping-Feng Pai, Kuo-Ping Lin, J. S. Wang, 2004 .

Predicting Vehicle Sales by Sentiment Analysis of Twitter Data and Stock Market Values

Ping-Feng Pai, Chia-Hsin Liu, Ping-Feng Pai, 2018, IEEE Access.

Analyzing foreign exchange rates by rough set theory and directed acyclic graph support vector machines

Ping-Feng Pai, Chao-Wei Huang, Shi-Yu Chen, 2010, Expert Syst. Appl..

Software reliability forecasting by support vector machines with simulated annealing algorithms

Ping-Feng Pai, Wei-Chiang Hong, Wei‐Chiang Hong, 2006, J. Syst. Softw..

System reliability forecasting by support vector machines with genetic algorithms

Ping-Feng Pai, Ping-Feng Pai, 2006, Math. Comput. Model..

Forecasting concentrations of air pollutants by logarithm support vector regression with immune algorithms

Ping-Feng Pai, Shun-Lin Yang, Kuo-Ping Lin, 2011, Appl. Math. Comput..

Analyzing academic achievement of junior high school students by an improved rough set model

Ping-Feng Pai, Yu-Min Wang, Yi-Jia Lyu, 2010, Comput. Educ..

Composite of support vector regression and evolutionary algorithms in car-rental revenue forecasting

Ping-Feng Pai, Wei-Chiang Hong, Shun-Lin Yang, 2007, 2007 IEEE Congress on Evolutionary Computation.

Continuous Ant Colony Optimization in a SVR Urban Traffic Forecasting Model

Ping-Feng Pai, Wei-Chiang Hong, Chien-Yuan Lai, 2007, IWANN.

Highway traffic forecasting by support vector regression model with tabu search algorithms

Ping-Feng Pai, Wei-Chiang Hong, Shun-Lin Yang, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Forecasting Tourism Demand Using a Multifactor Support Vector Machine Model

Wei-Chiang Hong, Chih-Sheng Lin, Ping-Feng Pai, 2005, CIS.

Revenue forecasting using a least-squares support vector regression model in a fuzzy environment

Ping-Feng Pai, Ping-Teng Chang, Kuo-Ping Lin, 2013, Inf. Sci..

An Enhanced Support Vector Machines Model for Classification and Rule Generation

Ping-Feng Pai, Ming-Fu Hsu, Ping-Feng Pai, 2011, Computational Optimization, Methods and Algorithms.

Tree-Based Machine Learning Models with Optuna in Predicting Impedance Values for Circuit Analysis

Ping-Feng Pai, Jung-Pin Lai, Yingli Lin, 2023, Micromachines.

Solar power output forecasting using evolutionary seasonal decomposition least-square support vector regression

Ping-Feng Pai, Kuo-Ping Lin, Ping-Feng Pai, 2016 .

Forecasting Hotel Room Occupancy Using Long Short-Term Memory Networks with Sentiment Analysis and Scores of Customer Online Reviews

Yu-Ming Chang, Ping-Feng Pai, Jung-Pin Lai, 2021, Applied Sciences.

Improving project-profit prediction using a two-stage forecasting system

Ping-Feng Pai, Ping-Teng Chang, Kuo-Ping Lin, 2013, Comput. Ind. Eng..

Time series forecasting by a seasonal support vector regression model

Ping-Feng Pai, Ping-Teng Chang, Kuo-Ping Lin, 2010, Expert Syst. Appl..

A Study of Optimization in Deep Neural Networks for Regression

Ping-Feng Pai, Jung-Pin Lai, Chi-Ju Lai, 2023, Electronics.

Using Directed Acyclic Graph Support Vector Machines with Tabu Search for Classifying Faulty Product Types

Ping-Feng Pai, Yu-Ying Huang, Ping-Feng Pai, 2006, ISNN.

Using ADABOOST and Rough Set Theory for Predicting Debris Flow Disaster

Ping-Feng Pai, Wei-Zhan Hung, Kuo-Ping Lin, 2014, Water Resources Management.

A Rough Set Based Model in Water Quality Analysis

Ping-Feng Pai, Fong-Chuan Lee, Ping-Feng Pai, 2010 .

Tourism demand forecasting using novel hybrid system

Ping-Feng Pai, Kuo-Chen Hung, Kuo-Ping Lin, 2014, Expert Syst. Appl..

Hybrid ellipsoidal fuzzy systems in forecasting regional electricity loads

Ping-Feng Pai, Ping-Feng Pai, 2006 .

Application of Hybrid Learning Neural Fuzzy Systems in Reliability Prediction

Ping-Feng Pai, Kuo-Ping Lin, Ping-Feng Pai, 2006, Qual. Reliab. Eng. Int..

Deep Belief Networks With Genetic Algorithms in Forecasting Wind Speed

Ping-Feng Pai, Kuo-Ping Lin, Yi-Ju Ting, 2019, IEEE Access.

Heuristic PAC model for hybrid MTO and MTS production environment

Ping-Feng Pai, Rong-Kwei Li, Sheng-Hung Chang, 2003 .

A fuzzy support vector regression model for business cycle predictions

Ping-Feng Pai, Kuo-Ping Lin, Ping-Feng Pai, 2010, Expert Syst. Appl..

Hybrid learning fuzzy neural models in stock price forecasting

Wei-Chiang Hong, Wei‐Chiang Hong, Ping-Feng Pai, 2005 .

Incorporating support vector machines with multiple criteria decision making for financial crisis analysis

Ping-Feng Pai, Ming-Fu Hsu, Ping-Feng Pai, 2012, Quality & Quantity.

Applying linguistic information and intersection concept to improve effectiveness of multi-criteria decision analysis technology

Ping-Feng Pai, Chen-Tung Chen, Wei-Zhan Hung, 2014, Int. J. Inf. Technol. Decis. Mak..

Deal with Linguistic Multi-Criteria Decision Making Problem Based on Sequential Multi-person Game Methodology

Ping-Feng Pai, Chen-Tung Chen, Wei-Zhan Hung, 2014, IEA/AIE.

Extending the strategy game from multi-criteria considerations with linguistic variables

Ping-Feng Pai, Chen-Tung Chen, Wei-Zhan Hung, 2013, 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).

Using Internet Search Trends and Historical Trading Data for Predicting Stock Markets by the Least Squares Support Vector Regression Model

Ping-Feng Pai, Kuo-Ping Lin, Ling-Chuang Hong, 2018, Comput. Intell. Neurosci..