Student, P., M. Ahmad, N., Prof. Dr. Abdulrahim Khalaf Rahi, A., Nasser, , Dr. Abdulmajid AL, P. (2009). “Using Feed-Forward Neural Network (FFNN) In Time Series Forecasting”. , 0(74), 101-125.
Ph.D Student; Nawzad M. Ahmad; Asst. Prof. Dr. Abdulrahim Khalaf Rahi; Nasser; Prof. Dr. Abdulmajid AL. " “Using Feed-Forward Neural Network (FFNN) In Time Series Forecasting”". , 0, 74, 2009, 101-125.
Student, P., M. Ahmad, N., Prof. Dr. Abdulrahim Khalaf Rahi, A., Nasser, , Dr. Abdulmajid AL, P. (2009). ' “Using Feed-Forward Neural Network (FFNN) In Time Series Forecasting”', , 0(74), pp. 101-125.
Student, P., M. Ahmad, N., Prof. Dr. Abdulrahim Khalaf Rahi, A., Nasser, , Dr. Abdulmajid AL, P. “Using Feed-Forward Neural Network (FFNN) In Time Series Forecasting”. , 2009; 0(74): 101-125.

“Using Feed-Forward Neural Network (FFNN) In Time Series Forecasting”

Journal of Administration and Economics
Article 1, Volume 0, Issue 74, 2018, Pages 101-125
Authors
Ph.D Student; Nawzad M. Ahmad; Asst. Prof. Dr. Abdulrahim Khalaf Rahi; ; Prof. Dr. Abdulmajid AL
Abstract
This study provides a specimen of the type of neural networks (5:1 - 6:5) FFNN
Of the time series daily of B (electric power generation station Darbandikhan - Kurdistan Region - Sulaymaniyah - Iraq) to be used to predict this series under the hypothesis that this type of models of neural networks with strong representation and the possibility of high property generalization and this can be inferred from the results of functions, errors used (MSE, NMSE) as well as the high potential in the calculation of predictions of the most efficient.
Keywords
Axis of a statistical
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