THE ESTIMATES OF POPULATİON BY MATHEMATICAL MODELING AND PER CAPITA INCOME BY ARTIFICIAL NEURAL NETWORK: EXAMPLE OF TURKEY


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Authors

  • Bahatdin DAŞBAŞI Erciyes Üniversitesi, İzzet Bayraktar Uygulamalı Bilimler Yüksek Okulu, Muhasebe ve Finans Yönetimi Bölümü Kayseri/Türkiye
  • Derviş BOZTOSUN Erciyes Üniversitesi, İzzet Bayraktar Uygulamalı Bilimler Yüksek Okulu, Muhasebe ve Finans Yönetimi Bölümü Kayseri/Türkiye
  • Emre Hayri BARAZ Erciyes Üniversitesi, İzzet Bayraktar Uygulamalı Bilimler Yüksek Okulu, Muhasebe ve Finans Yönetimi Bölümü Kayseri/Türkiye

DOI:

https://doi.org/10.26450/jshsr.154

Keywords:

Logistic growth model, Least squares method, Artificial neural network

Abstract

In this study, an exponential curve was constructed using the least squares method by the analytical solution of the expression of the logistic growth model as the differential equation. As an application, the population of Turkey in the future was tried to be estimated by establishing a relationship between the parameters of this curve and the parameters of the differential equation. Also, Turkey's national income per capita was tried to be estimated.via the simulation technique of artificial neural network NAR (Nonlinear Autoregressive).

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Published

2017-11-30

How to Cite

DAŞBAŞI, B., BOZTOSUN, D., & BARAZ, E. H. (2017). THE ESTIMATES OF POPULATİON BY MATHEMATICAL MODELING AND PER CAPITA INCOME BY ARTIFICIAL NEURAL NETWORK: EXAMPLE OF TURKEY. INTERNATIONAL JOURNAL OF SOCIAL HUMANITIES SCIENCES RESEARCH, 4(12), 841–850. https://doi.org/10.26450/jshsr.154

Issue

Vol. 4 No. 12 (2017): İnternational Journal of Social and Humanities Sciences Research (JSHSR)

Section

Articles

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Copyright (c) 2017 INTERNATIONAL JOURNAL OF SOCIAL HUMANITIES SCIENCES RESEARCH

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This work is licensed under a Creative Commons Attribution 4.0 International License.