A Two-stage Heterogeneous Ensemble Learning Algorithm Based on MLP-SVR-LGBM-Reference-Cited by-同舟云学术

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A Two-stage Heterogeneous Ensemble Learning Algorithm Based on MLP-SVR-LGBM

Published:2023-08-21 Issue: Volume: Page:
ISSN:
Container-title:2023 5th International Conference on Industrial Artificial Intelligence (IAI)
language:
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Author:

Yang Chunpeng¹,Zhang Xurui¹,Wang Yiping¹,Zhao Jianjun²,Sun Kai¹

Affiliation:

1. Qilu University of Technology (Shandong Acadamy of Sciences),School of Information and Automation,Jinan,China

2. Automation in Mining & Metallurgy,State Key Laboratory of Process Automation in Mining & Metallurgy Beijing Key Laboratory of Process,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10326186/10327501/10327568.pdf?arnumber=10327568

Reference21 articles.

1. Employing a genetic algorithm and grey wolf optimizer for optimizing RF models to evaluate soil liquefaction potential

2. Evolutionary bagging for ensemble learning

3. Shield attitude prediction based on Bayesian-LGBM machine learning

4. A comprehensive intrusion detection framework using boosting algorithms

5. A novel stacked generalization ensemble-based hybrid LGBM-XGB-MLP model for Short-Term Load Forecasting

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