[Predicting the Frequency of a Simple Pendulum Using Machine Learning: A Comparison with the Theoretical Model Across Different Release Angles]

Uslu, Kaan (2026) [Predicting the Frequency of a Simple Pendulum Using Machine Learning: A Comparison with the Theoretical Model Across Different Release Angles]. Other thesis, Ted Ankara Koleji.

[img] Text (PDF)
Kaan Uslu.pdf

Download (1MB)

Abstract

How accurately can a machine learning model predict the frequency of a simple pendulum compared to the theoretical formula, across a range of release angles?

Item Type: Thesis (Other)
Uncontrolled Keywords: Basit sarkaç, Makine öğrenmesi, Frekans tahmini, Salınım frekansı, Başlangıç açısı, Teorik model, Deneysel fizik, Model doğruluğu, Simple pendulum, Machine learning, Frequency prediction, Oscillation frequency, Release angle, Theoretical model, Experimental physics, Prediction accuracy.
Subjects: Q Science > QC Physics
Depositing User: High School Library
Date Deposited: 21 Jul 2026 06:49
Last Modified: 21 Jul 2026 06:49
URI: http://tedprints.tedankara.k12.tr/id/eprint/1518

Actions (login required)

View Item View Item