Hamid Bourray

A Dual-Stage Metaheuristic-Adam Optimization Framework for Structural LSTM Pruning: Application to Solar Energy Forecasting

Long short-term memory (LSTM) networks, a specialized class of Recurrent Neural Networks (RNNs), excel at capturing temporal dependencies in time-series data but face significant performance trade-offs due to manual architectural design and parameter redundancy. This study introd...