Term of Award
Spring 2024
Degree Name
Master of Science in Mathematics (M.S.)
Document Type and Release Option
Thesis (open access)
Copyright Statement / License for Reuse
This work is licensed under a Creative Commons Attribution 4.0 License.
Department
Department of Mathematical Sciences
Committee Chair
Ionut Iacob
Committee Member 1
Felix Hamza-Lup
Committee Member 2
Zheni Utic
Abstract
We show how to create Artificial Neural Network based models for performing the well- known Holt-Winters time series analysis. Our work fares well compared to the well-known Holt-Winter time series prediction method while avoiding the burden of searching for the parameters of the model. We present the theoretical justification of the connection between the two models and experimental results showing the similarities of these models
Recommended Citation
Bankole, Kazeem Olanrewaju, "Performing Holt-Winters Time Series Forecasting Using Neural Network Based Models" (2024). Electronic Theses and Dissertations. 2736.
https://digitalcommons.georgiasouthern.edu/etd/2736
Research Data and Supplementary Material
No
