Prediction of West Texas Intermediate Crude-oil Price Using Ensemble Learning Techniques and Neural Networks

A Jahandoost, M Houshmand… - 2024 10th International …, 2024 - ieeexplore.ieee.org
The importance of crude oil is undeniable nowadays. Therefore, forecasting its price is vital
for many industries and countries to specify their strategies. In this regard, many studies …

Multi-Period High Dimensional Data Modeling Using Hybrid Zero-Convolution CNN-LSTM for Improved Crude-Oil Price Prediction

A Jahandoost, M Baradaran… - 2024 20th CSI …, 2024 - ieeexplore.ieee.org
The prediction of crude oil prices poses a difficult yet pertinent task across various domains.
Therefore, there are dozens of studies in this field to predict its price as accurately as …

APPROPRIATE HOUSE PRICE PREDICTION USING ORANGE BY COMPARING NEURAL NETWORK AND LINEAR REGRESSION ALGORITHMS

D ARVIANTO - 2023 - repository.unika.ac.id
House prices will increase year by year significantly. In order to help sales parties and
prospective buyers, the data was looked at house prices from Kaggle, which totals 1460 …

[引用][C] Improving the Accuracy of House Price Prediction using Catboost Regression with Random Search Hyperparameter Tuning: A Comparative Analysis

F Hartono, M Muljono, A Fanani - Advance Sustainable Science Engineering and …, 2024