Optimization of energy harvesting performance of fully passive parallel flapping wings based on the combination of Taguchi method and neural networks

Key Points

• Energy harvesting performance significantly improved through optimization techniques.
• The optimization process yielded a 30% increase in energy efficiency in various conditions.
• Analysis utilized a combination of taguchi method and neural networks for optimization.
• Findings may enable better design of energy-efficient flapping wing systems, with wider applications in technology.