WeldNet: A Data-Driven Approach for Dynamic System Reduction

The ArXiv article introduces WeldNet, a novel method utilizing windowed encoders for learning and reducing the complexity of dynamic systems. This data-driven approach has potential implications for simplifying simulations and accelerating analyses in various engineering fields.

• •WeldNet employs a data-driven approach, eliminating the need for extensive analytical modeling.
• •The method utilizes windowed encoders to capture temporal dynamics efficiently.
• •Potential applications include simplified simulations and reduced computational costs.