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.

Библиографические подробности
Главные авторы:	Aunjum, Md. Ragib, Naqi, Muhammad, Jamil, Sifat
Другие авторы:	Majumdar, Mahbubul Alam
Формат:	Диссертация
Язык:	en_US
Опубликовано:	Brac University 2021
Предметы:	Crude oil price prediction Machine Learning Technical Factors Macroeconomic Factors Geopolitical Factors ARIMA Artificial Neural Network Grid search
Online-ссылка:	http://hdl.handle.net/10361/14750

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