Data-driven surrogates via regression and CNN-LSTM models with metaheuristic optimization for frequency control in nonlocal porous laminated composite plate resting on elastic foundation

Key Points

• Frequency control improved in nonlocal porous laminated composites using advanced models.
• Key evidence includes a significant performance enhancement through regression and CNN-LSTM models.
• Analysis employs metaheuristic optimization methods to drive model efficiency and accuracy.
• Highlights the need for innovative computational approaches in composite material research and applications.