A macroeconomic model for forecasting crude oil prices with Feedforward Neural Network Grid Search Experimentation

A macroeconomic model for forecasting crude oil prices with Feedforward Neural Network Grid Search Experimentation

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019.

Detalles Bibliográficos
Autores principales:	Aunjum, Md. Ragib, Naqi, Muhammad, Jamil, Sifat
Otros Autores:	Majumdar, Mahbubul Alam
Formato:	Tesis
Lenguaje:	en_US
Publicado:	Brac University 2021
Materias:	Crude oil price prediction Machine Learning Technical Factors Macroeconomic Factors Geopolitical Factors ARIMA Artificial Neural Network Grid search
Acceso en línea:	http://hdl.handle.net/10361/14750

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