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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.
Cite As
Mohammad Khishe (2026). Elite Preservation Strategy Chimp Optimization Algorithm (https://www.mathworks.com/matlabcentral/fileexchange/173560-elite-preservation-strategy-chimp-optimization-algorithm), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0 (20.6 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
