Buhamra. S., Smaoui. N. and Gabr. M. The Box-Jenkins analysis and neural networks: Prediction and time series modeling, Applied Mathematical Modeling 27, 805–815, 2003.
Cichocki. A. and Unbehauen. R. Neural networks for optimization and signal processing (John Willey & Sons, New York, 1993).
Eling, P., Derckx, K. and Maes, R. On the historical and conceptual background of the Wisconsin Card Sorting Test, Brain and Cognition 67, 247–253, 2008.
Elman, J. L. Finding structure in time, Cognitive Science 14, 179–211, 1990.
Pham, D. T. and Karaboga, D. Inteligent Optimisation Techniques - Genetic Algorithms. Tabu Search. Simulated Anealing and Neural Networks(Springer, 2000).
Picton, P.D. Introduction to Neural Networks (Macmillan Press Ltd., 1994).
Qi, M. and Zhang, G. An investigation of model selection criteria for neural network time series forecasting, European Journal of Operational Research 132, 666–680, 2001.
Smith, K.A. Neural networks in business: techniques and applications (Imprint Info Her- shey: Idea Group, 2002).
S¸eker, S.. Ayaz, E. and T¨urkcan, E. Elman’s recurrent neural network applications to con- dition monitoring in nuclear power plant and rotating machinery, Engineering Applications of Artificial Intelligence 16, 647–656, 2003.
Ture, M. and Kurt, I. Comparison of four different time series methods to forecast hepatitis A virus infection. Expert Systems with Applications 31, 41–46, 2006.
Zhang, G.. Patuwo. B.E. and Hu. Y.M. Forecasting with artificial neural networks: the state of the art, International Journal of Forecasting 14, 35–62, 1998.
Zurada, J.M. Introduction of Artificial Neural Systems (St. Paul: West Publishing, 1992).
Modeling Brain Wave Data by Using Artificial Neural Networks
Year 2010,
Volume: 39 Issue: 1, 81 - 88, 01.01.2010
Buhamra. S., Smaoui. N. and Gabr. M. The Box-Jenkins analysis and neural networks: Prediction and time series modeling, Applied Mathematical Modeling 27, 805–815, 2003.
Cichocki. A. and Unbehauen. R. Neural networks for optimization and signal processing (John Willey & Sons, New York, 1993).
Eling, P., Derckx, K. and Maes, R. On the historical and conceptual background of the Wisconsin Card Sorting Test, Brain and Cognition 67, 247–253, 2008.
Elman, J. L. Finding structure in time, Cognitive Science 14, 179–211, 1990.
Pham, D. T. and Karaboga, D. Inteligent Optimisation Techniques - Genetic Algorithms. Tabu Search. Simulated Anealing and Neural Networks(Springer, 2000).
Picton, P.D. Introduction to Neural Networks (Macmillan Press Ltd., 1994).
Qi, M. and Zhang, G. An investigation of model selection criteria for neural network time series forecasting, European Journal of Operational Research 132, 666–680, 2001.
Smith, K.A. Neural networks in business: techniques and applications (Imprint Info Her- shey: Idea Group, 2002).
S¸eker, S.. Ayaz, E. and T¨urkcan, E. Elman’s recurrent neural network applications to con- dition monitoring in nuclear power plant and rotating machinery, Engineering Applications of Artificial Intelligence 16, 647–656, 2003.
Ture, M. and Kurt, I. Comparison of four different time series methods to forecast hepatitis A virus infection. Expert Systems with Applications 31, 41–46, 2006.
Zhang, G.. Patuwo. B.E. and Hu. Y.M. Forecasting with artificial neural networks: the state of the art, International Journal of Forecasting 14, 35–62, 1998.
Zurada, J.M. Introduction of Artificial Neural Systems (St. Paul: West Publishing, 1992).
Aladag, C. H., Egrioglu, E., & Kadilar, C. (2010). Modeling Brain Wave Data by Using Artificial Neural Networks. Hacettepe Journal of Mathematics and Statistics, 39(1), 81-88.
AMA
Aladag CH, Egrioglu E, Kadilar C. Modeling Brain Wave Data by Using Artificial Neural Networks. Hacettepe Journal of Mathematics and Statistics. January 2010;39(1):81-88.
Chicago
Aladag, Cagdas H., Erol Egrioglu, and Cem Kadilar. “Modeling Brain Wave Data by Using Artificial Neural Networks”. Hacettepe Journal of Mathematics and Statistics 39, no. 1 (January 2010): 81-88.
EndNote
Aladag CH, Egrioglu E, Kadilar C (January 1, 2010) Modeling Brain Wave Data by Using Artificial Neural Networks. Hacettepe Journal of Mathematics and Statistics 39 1 81–88.
IEEE
C. H. Aladag, E. Egrioglu, and C. Kadilar, “Modeling Brain Wave Data by Using Artificial Neural Networks”, Hacettepe Journal of Mathematics and Statistics, vol. 39, no. 1, pp. 81–88, 2010.
ISNAD
Aladag, Cagdas H. et al. “Modeling Brain Wave Data by Using Artificial Neural Networks”. Hacettepe Journal of Mathematics and Statistics 39/1 (January 2010), 81-88.
JAMA
Aladag CH, Egrioglu E, Kadilar C. Modeling Brain Wave Data by Using Artificial Neural Networks. Hacettepe Journal of Mathematics and Statistics. 2010;39:81–88.
MLA
Aladag, Cagdas H. et al. “Modeling Brain Wave Data by Using Artificial Neural Networks”. Hacettepe Journal of Mathematics and Statistics, vol. 39, no. 1, 2010, pp. 81-88.
Vancouver
Aladag CH, Egrioglu E, Kadilar C. Modeling Brain Wave Data by Using Artificial Neural Networks. Hacettepe Journal of Mathematics and Statistics. 2010;39(1):81-8.