Research on Machine Learning-Based Mechanical Structure Optimization Design Method

With the rapid development of artificial intelligence technology, machine learning has been increasingly applied in engineering fields. The application of machine learning methods to mechanical structure optimization design can effectively improve design efficiency and optimization accuracy. Through establishing parametric models of mechanical structures and employing advanced algorithms such as deep learning and reinforcement learning, intelligent prediction and optimization of structural performance have been achieved. Research shows that machine learning-based optimization methods demonstrate faster convergence speeds and better global optimization capabilities compared to traditional methods, showing significant advantages in complex mechanical structure design. Experimental verification indicates that this method can improve optimization efficiency by over 40%, and the optimization results meet practical engineering requirements.