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.

Bibliografische gegevens
Hoofdauteurs:	Aunjum, Md. Ragib, Naqi, Muhammad, Jamil, Sifat
Andere auteurs:	Majumdar, Mahbubul Alam
Formaat:	Thesis
Taal:	en_US
Gepubliceerd in:	Brac University 2021
Onderwerpen:	Crude oil price prediction Machine Learning Technical Factors Macroeconomic Factors Geopolitical Factors ARIMA Artificial Neural Network Grid search
Online toegang:	http://hdl.handle.net/10361/14750

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