0% Complete
صفحه اصلی
/
سی امین کنفرانس بین المللی مهندسی برق
Forecasting Crude Oil Prices using improved deep belief network (IDBN) and long-term short-term memory network (LSTM)
نویسندگان :
Mohammad Mahdi Lotfi Heravi
1
Mahsa Khorrampanah
2
Monireh Houshmand
3
1- دانشگاه صنعتی امیرکبیر
2- دانشگاه بینالمللی امام رضا
3- دانشگاه بینالمللی امام رضا
کلمات کلیدی :
Crude oil price forecast،Deep learning model،Improved Deep Belief Network (IDBN)،Return Nervous Network (RNN)،Long-Term Memory Network (LSTM)
چکیده :
Historically, energy resources are of strategic importance for the economic growth and social welfare of any country. Therefore, predicting crude oil price fluctuations is an important issue. Because crude oil price changes are affected by a wide range of risk factors in crude oil markets, crude oil prices show more complex nonlinear behavior and create a higher level of risk for investors than in the past. With the popularity of the deep learning model in engineering, it has attracted significant research trends in economics and finance. In this dissertation, we propose a new method of predicting the combined price of deep-based crude oil to model nonlinear dynamics in changing the price of crude oil and predict its future change at a higher level of accuracy. The results of the experiments show that the superior performance of the model based on the proposed method against statistical article [3] is statistically significant. In general, we found that the combination of the IDBN or LSTM model lowered the MSE value to 4.65, which was 0.81% lower than the base article, indicating an improvement in prediction accuracy. Interestingly, the prediction accuracy of the basic article method is lower than the proposed combined method.
لیست مقالات
لیست مقالات بایگانی شده
An Optimal Investigation into A Preventive Maintenance Scheduling Scheme for Electric Power Transmission Networks
Seyed Sina Taheri Otaghsara - Masoud Asghari Gharakheili
Design and Manufacturing of a Programmable Spin Coater Based on a Brushless DC Motor
MirBehrad Mousavi - Saeed Javadizadeh - Seyed Ahmadreza Firoozabadi - Majid Badieirostami
Exploring Graph Biomarkers and Connectivity in Epilepsy Through Graph Learning
Ali Khosravipour - Sepideh Hajipour Sardouie
Model Predictive Control for a 3-DoF Suspended Cable Robot Based on Laguerre Functions
Shiva Khoshkam - Mohammad A. Khosravi - Rasul FesharakiFard
Design and Implementation of a Flexible CNN Accelerator for Fast Real-Time Object Detection on FPGA
Emadodin Sakhaee - Mahdi Kalbasi
Power Consumption and I/Q-to-Phase Analysis in Direct Demodulation Approaches
Mir mahdi Safari - Jafar Pourrostam
Performance analysis under the Independent Fluctuating Two-Ray (IFTR) Fading in RIS-Assisted Millimeter Wave Communications
Maryam Olyaee - Hadi Hashemi - Juan Manuel Romero Jerez
طراحی و پیادهسازی آرایه انعکاسی چند پرتویی پهن باند با قطبش های خطی و دایروی همزمان با تنظیم فاز ثابت مرجع در سطح آرایه
مجید کریمی پور
Design and Performance Analysis of a Novel Optical Biosensor for Measuring Glucose Concentration in Urine
Sania Eskandari - Siavash Zargari - Saeed Meshgini - Ali Farzamnia
Dual-Polarized Broadband Folded Cross-Dipole Base Station Antenna
Farzad Alizadeh - Javad Nourinia - Changiz Ghobadi - Keyhan Hosseini - Hiwa Taha Sediq - Bahman Mohammadi
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 41.7.4