Multi-Adapter PPO: A Cross-Attention Enhanced Wavelength Selection Framework for LIBS Quantitative Analysis
Researchers have developed a new framework called Multi-Adapter PPO to address challenges in wavelength selection for laser-induced breakdown spectroscopy (LIBS) quantitative analysis. This novel approach frames wavelength selection as a reinforcement learning problem, utilizing cross-attention mechanisms and specialized adapters to better understand spectral data. The framework demonstrated significant improvements over traditional Particle Swarm Optimization (PSO), achieving a 28.4% higher comprehensive score and a 45.2% increase in prediction accuracy on steel and coal datasets. AI