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.

Bibliographische Detailangaben
Hauptverfasser:	Aunjum, Md. Ragib, Naqi, Muhammad, Jamil, Sifat
Weitere Verfasser:	Majumdar, Mahbubul Alam
Format:	Abschlussarbeit
Sprache:	en_US
Veröffentlicht:	Brac University 2021
Schlagworte:	Crude oil price prediction Machine Learning Technical Factors Macroeconomic Factors Geopolitical Factors ARIMA Artificial Neural Network Grid search
Online Zugang:	http://hdl.handle.net/10361/14750

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