FORECAST OF VEHICLE PRODUCTION IN BRAZIL USING ZHANG'S HYBRID MODEL

Authors

  • Arundo Nunes da Silva Júnior

Keywords:

Vehicle production, Forecast, Zhang model, Wavelets, ARIMA, LSTM

Abstract

This study presents the application of Zhang's hybrid model to predict vehicle production in Brazil. The model combines wavelets, ARIMA, and LSTM neural network techniques to provide more accurate and robust predictions. The results demonstrate the effectiveness of the proposed model, highlighting its application in planning and decision-making in the automotive sector.

 

DOI:https://doi.org/10.56238/sevened2024.037-045

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Published

2024-12-05

Issue

Science and Connections: The Interdependence of Disciplines

Section

Articles

License

Copyright (c) 2024 Arundo Nunes da Silva Júnior

Creative Commons License

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

How to Cite

FORECAST OF VEHICLE PRODUCTION IN BRAZIL USING ZHANG’S HYBRID MODEL . (2024). Seven Editora, 730-750. https://sevenpublicacoes.com.br/editora/article/view/6178