Publications& Projects |
Listing 20 SSCI, SCI papers 1. Wen-Tsao Pan, Zu-Chang Zhong, Yan-Mei Shao, Tian-Tian Yang, Shi-Hua Luo, Xuan-Wan Li, A Comparative Analysis of Location Optimization of Three Fruit Fly Optimization Algorithms, Journal of Residuals Science & Technology, Vol. 13, No. 8,Inpress, 2016.(SCI) 2. Wen-Tsao Pan, Fei-Xiong Ma, Wen-Cheng Wang, Yungho Leu, Study on the Effect of Organizational Members¡¯ Network Interaction on Knowledge Resources in theTourism Industry of Taiwan, Journal of Residuals Science & Technology, Vol. 13, No. 8,Inpress, 2016.(SCI) 3. Wen-Tsao Pan, Yungho Leu, Wen-Zhong Zhub and Wei-Yuan Lin, A data mining approach to the analysis of a catering leanservice project, Intelligent Automation and Soft Computing, Inpress, 2016.(SCI) 4. Yiwen Zhang, Guangming Cui, Jintao Wu, Wen-Tsao Pan, Qiang He, A novel multi-scale cooperative mutation Fruit Fly Optimization Algorithm, Knowledge-Based Systems, Vol.114,pp.24-35, 2016.(SCI) 5. Wen-Tsao Pan, Chiung-En Huang, Chiung-Lin Chiu, Study on the Performance Evaluation of Online Teaching Using the Quantile Regression Analysis and Artificial Neural Network, Journal of Supercomputing, Vol.72, No.3,pp.789¨C803, 2016. (SCI) 6. Tsui-Hua Huang,Yungho Leu, Wen-Tsao Pan, Constructing ZSCORE-based financial crisis warning models using fruit fly optimization algorithm and general regression neural network, Kybernetes, Vol.45, No.4. pp.650-665, 2016. (SCI) 7. Wen-Tsao Pan, Yungho Leu, An Analysis of Bank Service Satisfaction Based on Quantile Regression and Grey Relational Analysis, Mathematical Problems in Engineering,Vol.2016, No.6, pp.1-9, 2016,(SCI) 8. Wen-Tsao Pan, Using data mining for service satisfaction performance analysis for mainland tourists in Taiwan, International Journal of Technology Management, Vol.64, No.1, pp.31-44, 2014, ( SSCI, SCI) 9. Wen-Tsao Pan, Mixed modified fruit fly optimization algorithm with general regression neural network to build oil and gold prices forecasting model, Kybernetes, Vol.43, No.7, pp.1053-1063, 2014.(SCI) 10. P.W. Chen, W.Y. Lin, W.T. Pan: Using Fruit Fly Optimization Algorithm optimized Grey Model Neural Network to perform satisfaction analysis for E-Business service, Applied Mathematics & Information Sciences, Vol.7, No.2L, pp.459-465, 2013, ( SCI). 11. Wen-Tsao Pan, Using Modified Fruit Fly Optimization Algorithm to Perform the Function Test and Case Studies , Connection Science, Vol.25, No.2-3, pp.151-160, 2013, (SCI). 12. Liu Ming-Te, Mei Albert Kuo-Chung, Wen-Tsao Pan: Using data mining technique to perform the performance assessment of lean service, Neural Comput & Applic, Vol. 22, No. 7-8, pp. 1433-1445, 2013, ( SCI). 13. Wen-Tsao Pan: A new fruit fly optimization algorithm: Taking the financial distress model as an example, Knowledge-Based Systems, Vol.26, pp.69-74, 2012, (SCI). 14. Jui-Ching Huang, Wen-Tsao Pan, Shan-Ying Wu: Using PSO Algorithm to perform Financial Characteristic study for enterprises, African Journal of Business Management, Vol.5, No.30, pp.12040-12049, 2011, (SSCI). 15. Chien-Jen Huang, Peng-Wen Chen, Wen-Tsao Pan: Using multi-stage data mining technique to build forecast model for Taiwan stocks, Neural Comput & Applic, Vol.21, No.8, pp.2057¨C2063, 2012, ( SCI ). 16. Wen-Tsao Pan: Combining PSO Cluster and Nonlinear Mapping algorithm to perform clustering performance analysis: take the enterprise financial alarming as example, Quality & Quantity, Vol. 45, No.6, pp.1291-1302., ( SSCI, SCI). 17. Wen-Tsao Pan: The use of genetic programming for the construction of a financial management model in an enterprise, International Journal of Applied Intelligence, Vol.36, No.2, pp.271-279, 2010, ( SCI ). 18. Wen-Tsao Pan: Performing Stock Price Prediction Use of Hybrid Model, Chinese Management Studies, Vol.4, No.1, pp.77-86, 2010,( SSCI). 19. Wen-Tsao Pan: Forecasting classification of operating performance of enterprises by ZSCORE combining ANFIS and genetic algorithm, Neural Comput & Applic, Vol. 18, No. 8, pp. 1005-1011, 2009,( SCI ). 20. Wen-Tsao Pan: Combining Fuzzy Sammon Mapping and Fuzzy Clustering Approach to perform clustering effect analysis: take the banking service satisfaction as an example, Expert Systems With Applications, Vol. 37, pp. 4139¨C4145, 2009, ( SCI ). |