Hybrid fuzzy-transformer-CNN network combined with fs-LA-SIBS for accurate classification of magnesium alloy components

Key Points

• This research aims to enhance the classification accuracy of magnesium alloy components using a novel technique.
• Developed femtosecond laser-ablation spark-induced breakdown spectroscopy technique.
• Combined with Hybrid Fuzzy-Transformer-CNN for improved classification.
• Focused on achieving high-fidelity results.
• Achieved accurate classification of magnesium alloy components through fs-LA-SIBS and HybridTFNet combination.