Series hybridization of parallel (SHOP) models for time series forecasting

DOI10.1016/J.PHYSA.2022.127173OpenAlexW4214902853MaRDI QIDQ2128720

Mehdi Khashei, Zahra Hajirahimi

Publication date: 22 April 2022

Published in: Physica A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physa.2022.127173

zbMATH Keywords

time series forecastingmultilayer perceptrons (MLPs)autoregressive integrated moving average (ARIMA)hybridization of hybrid structuresparallel hybrid modelseries hybridization

Mathematics Subject Classification ID

Statistical mechanics, structure of matter (82-XX)

Uses Software

• forecast
• Forecast

Cites Work

• Unnamed Item
• Time series forecasting using a hybrid ARIMA and neural network model
• Handbook of economic forecasting. Volume 1
• Forecasting corporate failure using ensemble of self-organizing neural networks
• Weighted sequential hybrid approaches for time series forecasting
• Statistical analysis of autoregressive fractionally integrated moving average models in R
• Forecasting comparisons using a hybrid ARFIMA and LRNN models
• A comparative study of series arima/mlp hybrid models for stock price forecasting

This page was built for publication: Series hybridization of parallel (SHOP) models for time series forecasting