Elite Preservation Strategy Chimp Optimization Algorithm

Elite Preservation Strategy Chimp Optimization Algorithm (EPSCHOA)
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Mise à jour 6 oct. 2024

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In the proposed framework, the Elite Preservation Strategy Chimp Optimization Algorithm (EPSCHOA) is embedded for the improving function and hyperparameter tuning of a Long Short-Term Memory (LSTM) model. This is that solution that aims at overcoming problems that are preserved in cases of non-stationary well log data and missing data reconstruction. The methodology seeks to leverage temporal dependencies through the use of LSTM and at the same time employ the hyperparameter tuning aspect of EPSCHOA for both improved prediction and efficiency.

Citation pour cette source

Mohammad Khishe (2026). Elite Preservation Strategy Chimp Optimization Algorithm (https://fr.mathworks.com/matlabcentral/fileexchange/173560-elite-preservation-strategy-chimp-optimization-algorithm), MATLAB Central File Exchange. Extrait(e) le .

Compatibilité avec les versions de MATLAB
Créé avec R2024b
Compatible avec toutes les versions
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Version Publié le Notes de version
1.0.0