References
- 1. John, M. Economic Forecasting Challenges and Neural Network Solutions. Computer Science Dept., Oregon Graduate Institut, USA, 1995.
- 2. Hou, Zai-En, Fu-Jian Duan. The Neural Network Method of Economy Forecasting. World Congress on Software Engineering, IEEE, 2009.
- 3. Leonardo, M. S., R. Ballini. Design a Neural Network for Time Series Financial Forecasting: Accuracy and Robustness Analisys. Instituto de Economia, Universidade Estadual de Campinas, Sao Paulo-Brasil, 2008.
- 4. Lykourentzou, I., I. Giannoukos, G. Mpardis, V. Nikolopoulos, V. Loumos. Early and Dynamic Student Achievement Prediction in e-Learning Courses Using Neural Networks. DOI: 10.1002/asi.20970, 2008.
- 5. Lykourentzou, I., I. Giannoukos V. Nikolopoulos,, G. Mpardis, V. Loumos. Dropout Prediction in e-Learning Courses through the Combination of Machine Learning Techniques. School of Electrical and Computer Engineering, National Technical University of Athens, Zographou Campus, 15773 Athens, Greece, 2009.
- 6. Kasuba, A. EXPERT. Simplified Fuzzy ARTMAPT. Miller Freeman, Inc., 1993.
- 7. Baker, B. D., C. E. Richards. A Comparison of Conventional Linear Regression Methods and Neural Networks for Forecasting Educational Spending. 1999.
- 8. Zhong, He De, Liu Jing Nan, Zhang Su He. Evaluation of Academic Degrees and Graduate Education Based on Neural Network. - Journal of Chongqing University (Natural Science Edition), 2003.
- 9. Kaplan, R., D. Norton. The Balanced Scorecard: Translating Strategy into Action. 2006.
- 10. Johnson, K. J. Boosting Performance and Accountability with the BSC. Texas Education Agency, 2003.
- 11. Lilian, C. Y.-C. Which Balanced Scorecard to Use. St. Thomas University, 2007.
- 12. Purdue University, SSTS: Strategic Plan - Balanced Scorecard. 2009.
- 13. Cardoso, M. J. T. P. N. E. A Balanced Scorecard Approach for Strategy-and Quality-Driven Universities. 2005.
- 14. Nicola, B. R. K. R. S. SPSS for Psychologists. Published by Palgrave Macmillan, Australia, 2006.
- 15. Vundev. Records on Applied Statistics, Vol. 2, 2003.
- 16. Edward, J. J. A User's Guide to Principal Components, 2004.
- 17. Suikova , S. Т. I. Statistical Study. Publishing House “Luren”, 2000.
- 18. S. M. Cross-Validatory Choice and Assessment of Statistical Predictions. 1974.
- 19. Cun, Yan Le, J. Denker, S. Solla. Optimal Brain Damage. Advances in Neural Information Processing Systems, 1990.
- 20. Cybenko, G. Approximation by Superposition of a Sigmodial Function. 1986.
- 21. Funahashi, K.-I. On the Approximate Realization of Continuous Mappings by Neural Networks. 1989.
- 22. Hartman, K., Kowalski. Layered Neural Networks with Gaussian Hidden Units as Universal Approximations. 1990.
- 23. Haykin, S. Neural Networks: A Comprehensive Foundation. 1994.
- 24. Kuruglov, V. V., M. I. Dli, R. Golunov. Fuzzy Logic and Artificial Neural Networks. 2001.