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.

Détails bibliographiques
Auteurs principaux:	Aunjum, Md. Ragib, Naqi, Muhammad, Jamil, Sifat
Autres auteurs:	Majumdar, Mahbubul Alam
Format:	Thèse
Langue:	en_US
Publié:	Brac University 2021
Sujets:	Crude oil price prediction Machine Learning Technical Factors Macroeconomic Factors Geopolitical Factors ARIMA Artificial Neural Network Grid search
Accès en ligne:	http://hdl.handle.net/10361/14750

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