A linear directional optimum weighting (LDOW) approach for parallel hybridization of classifiers-Reference-Cited by-同舟云学术

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A linear directional optimum weighting (LDOW) approach for parallel hybridization of classifiers

Published:2024-08 Issue: Volume:161 Page:111754
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Hajirahimi Zahra,Khashei Mehdi^ORCID,Bakhtiarvand Negar

Publisher

Elsevier BV

Reference63 articles.

1. Performance evaluation of series and parallel strategies for financial time series forecasting;Khashei;Financ. Innov.,2017

2. Financial time series forecasting with multi-modality graph neural network;Cheng;Pattern Recognit.,2022

3. A comparative study of series arima/mlp hybrid models for stock price forecasting;Khashei;Commun. Stat. - Simul. Comput.,2019

4. Forecasting price of financial market crash via a new nonlinear potential GARCH model;Xing;Phys. A: Stat. Mech. Appl.,2021

5. Forecasting Chinese economic growth, energy consumption, and urbanization using two novel grey multivariable forecasting models;Wang;J. Clean. Prod.,2021

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