Intelligent Gold Ore Exploration System Integrating Laser-Induced Breakdown Spectroscopy and Genetic Algorithm-Optimized Neural Network

Aiming at the problems of low efficiency, heavy pollution, high cost and poor environmental adaptability of traditional gold exploration technology, this study proposes an intelligent detection system based on laser-induced breakdown spectroscopy (LIBS) and neural network optimized by genetic algorithm, which captures the characteristic spectra by high-energy pulsed laser excitation of the ore surface plasma, improves the signal-to-noise ratio by combining the timing control and wavelet transform, and addresses the problem of multi-elemental interference of the complex spectra by establishing an adaptive parameter-optimized neural network model. The neural network model with adaptive parameter optimization is established, and the stable detection of the characteristic peak of gold element at 242.8 nm is successfully achieved, providing a highly robust solution for the intelligent transformation of geological exploration.