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

Internet

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

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