Department Introduction
Aims and Objectives
Teacher Presentation
Our location
Distinguished Professor
Ping-Feng Pai
Educational Background
Ph.D., Dept. of Industrial and Manufacturing Systems Engineering
Kansas State University, USA
Area for research
Forecasting systems, Machine learning, Big data analytics, Meta heuriscts
Laboratory
Intelligent Information system and Maganement Lab.
- (049)2910960 transfer 4672
- paipf@ncnu.edu.tw
- School of Management Room 5012 or Room 107
- Monday : 12：10 - 14：00
- Academic research
- Link of Laboratory
Scholarly journals
- Jung-Pin Lai, Yu-Ming Chang, Chieh-Huang Chen, Ping-Feng Pai* (2020, Aug).
A Survey of Machine Learning Models in Renewable Energy Predictions. Applied Sciences, 10(17), 5975. - Ping-Feng Pai*, Wen-Chang Wang (2020, Aug). Using Machine Learning Models and Actual Transaction Data for Predicting Real Estate Prices. Applied Sciences, 10(17), 5832.
- Yi-Ting Huang, Ping-Feng Pai* (2020, Apr). Using the least squares support vector regression to forecast movie sales by data from Twitter and movie databases. Symmetry, 12(4),625.
- Kuo-Ping Lin, Ping-Feng Pai*, Yi-Ju Ting (2019, Jul). Deep belief networks with genetic algorithms in forecasting wind speed. IEEE Access, 7, 99244-99253.
- Ping-Feng Pai*, Chia-Hsin Liu (2018, Oct). Predicting vehicle sales by sentiment analysis of Twitter data and stock market values. IEEE Access, 6,57655-57662.
- Ping-Feng Pai*, Ling-Chuang Hong, Kuo-Ping Lin (2018, Jul). Using Internet search trends and historical trading data for predicting stock markets by the least squares support vector regression model. Computational Intelligence and Neuroscience, Volume 2018, Article ID 6305246, 15 pages.
- Kuo-Ping Lin, Ming-Lang Tseng, Ping-Feng Pai (2018, Jan). Sustainable supply chain management using approximate fuzzy DEMATEL method. Resources, Conservation and Recycling, 128,134-142.
- Ping-Feng Pai*, Lan-Hung ChangLiao,Kuo-Ping Lin (2017, Dec). Analyzing basketball games by a support vector machines with decision tree model. Neural Computing & Applications , 28(12),4159–4167.
- Kuo-Ping Lin, Ping-Feng Pai* (2016, Oct). Solar power output forecasting using evolutionary seasonal decomposition least-square support vector regression. Journal of Cleaner Production, 134(Part B), 456-462.
- Ping-Feng Pai*, Lei-Chun Chen, Kuo-Ping Lin (2016, Apr). A hybrid data mining model in analyzing corporate social responsibility. Neural Computing & Applications, 27(3), 749-760.
- Ping-Feng Pai*, Yi-Shien Tan, Ming-Fu Hsu (2015, Dec). Credit rating analysis by the decision-tree support vector machine with ensemble strategies. International Journal of Fuzzy Systems, 17(4), 521-530.