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.

Bibliografiska uppgifter
Huvudupphovsmän:	Aunjum, Md. Ragib, Naqi, Muhammad, Jamil, Sifat
Övriga upphovsmän:	Majumdar, Mahbubul Alam
Materialtyp:	Lärdomsprov
Språk:	en_US
Publicerad:	Brac University 2021
Ämnen:	Crude oil price prediction Machine Learning Technical Factors Macroeconomic Factors Geopolitical Factors ARIMA Artificial Neural Network Grid search
Länkar:	http://hdl.handle.net/10361/14750

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