An Optimized Stacking Ensemble Learning Model Using 3-Pyramids Technique for the 2006 CHF Groeneveld Look Table Prediction

Messaoud Djeddou, Jehad Al Dallal, Aouatef Hellal, Ibrahim A. Hameed, I. Loukam, Md F. Kabir, M. Bouhicha

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Typically, critical heat flux (CHF) look-up tables constructed based on physical experiments have limited data. Using available experimental-based CHF look-up tables as training data, machine learning techniques can be applied to construct CHF prediction models and, thus, produce CHF look-up tables reporting estimated CHF values under a much wider variety of conditions. This study proposes an effective prediction approach based on stacking ensemble learning and a new optimization technique, namely 3-pyramids, to get reliable CHF look-up prediction results. The approach is divided into three parts that include (1) using multiple prediction models constructed using different machine learning techniques, (2) combining the prediction results using a stacking strategy to generate the final prediction results, and (3) optimizing an improved super learner model to improve the prediction model's capabilities using 3-pyramids optimization technique. The effectiveness of these models was evaluated using the coefficient of determination (R2), mean absolute error (MAE), and root-mean-squared (RMSE). The results show that the proposed model has high accuracy and that applying the 3-pyramids optimization further improved this accuracy and significantly reduced the model execution time.

Original languageEnglish (US)
Title of host publicationProceedings - 2023 International Conference on Applied Mathematics and Computer Science, ICAMCS 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages95-99
Number of pages5
ISBN (Electronic)9798350324266
DOIs
StatePublished - 2023
Event3rd International Conference on Applied Mathematics and Computer Science, ICAMCS 2023 - Lefkada Island, Greece
Duration: Aug 8 2023Aug 10 2023

Publication series

NameProceedings - 2023 International Conference on Applied Mathematics and Computer Science, ICAMCS 2023

Conference

Conference3rd International Conference on Applied Mathematics and Computer Science, ICAMCS 2023
Country/TerritoryGreece
CityLefkada Island
Period8/8/238/10/23

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Information Systems and Management
  • Applied Mathematics
  • Computational Mathematics
  • Modeling and Simulation
  • Computer Science Applications

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