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

Internet

http://hdl.handle.net/10361/14750

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