Modeling and prediction using an artificial neural network to study the impact of foreign direct investment on the growth rate / a case study of the State of Qatar

Author:

Zain Al-Thalabi Sahera Hussein1,Heydari Ali Akbar2,Tavakoli Masoud3

Affiliation:

1. Department of Statistics, Faculty of Mathematical Science, University of Basra, Iraq

2. Department of Statistics, Faculty of Mathematical Science, University of Tabriz, Iran

3. Department of Science, Birjand University of Technology, Iran

Publisher

Taru Publications

Subject

General Medicine

Reference11 articles.

1. Abbasi, A. M., 2013. “Introduction to artificial neural networks and their applications in social sciences using SPSS”, the Institute of Statistical Studies and Research, Department of Population and vital statistics, University Alqahrh. P. 9

2. Gupta, C., 2006. “Implementation of Back Propagation Algorithm (of neural networks) In Vhdl”, Department OF Electronics and Communication Engineering, Deemed University, Patiala-147004, India.

3. Idown, P. A., Osakwe, C., Kayode, A. A. & Adagunodo, E. R., 2012. “Prediction of Stock Market in Nigeria Using Artificial Neural Network”, Published Online October 2012 in MECS (http://www.mecspress.org/), PP. 68–74.

4. Jeng, D.S., Bateni, S.M. & Lockett, E., 2006. “Neural Network Assessment for Scour Depth Around Bridge Piers”, Department of Civil Engineering, Research Report No. R855, University of Sydney, Australia.

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