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akaturk Academic measurement

Article detail · 2024

Analysis of the Total Number of Licensed Athletes Using Artificial Neural Networks for the Future Years in Türkiye

Journal

Karadeniz Fen Bilimleri Dergisi

ISSN 1304-9550

YÖKSİS OpenAlex Open access · diamond TR Index Citations 6 Top 10% Percentile 94.3% FWCI 4.01
Year
2024
Type
article

Data source split

  • YÖKSİS YÖKSİS article record
  • YÖKSİS venue Karadeniz Fen Bilimleri Dergisi
  • OpenAlex OpenAlex enrichment (abstract, citations, topics)

Abstract

OpenAlex · English

The term sport refers to a collection of competitive or leisure physical activities conducted under certain rules and regulations to enhance individuals' physical capabilities, skills, and endurance. Official figures indicate that there are roughly 6.25 million licensed athletes in Türkiye as of 2022. The projection of this figure in the forthcoming years is crucial for facilitating more efficient sports policy planning. The entire number of athletes in Türkiye till 2040 was projected using artificial neural networks (ANN). The utilization of artificial neural networks to predict the number of athletes facilitates the production of projections for subsequent years. These estimations furnish essential data for the expansion of sports and the growth potential of the sports business. The study utilized the Levenberg-Marquardt and Bayesian Regularization techniques of ANN. By the year 2040, it is projected that Türkiye would have a minimum of 7.33 million athletes. Future research should quantify and analyze the number of athletes across various disciplines utilizing ANN algorithms.

Topics

Citations

OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.

6 citations

OpenAlex cited_by_count (cache / database)

Authors

  1. HALİL ŞENOL GİRESUN ÜNİVERSİTESİ
  2. HALİL ÇOLAK
  3. EMRE ÇOLAK