Machine Learning Models Enhance Seismic Impact Assessment in Western China
New machine learning approaches are transforming how scientists assess earthquake impacts in Western China. By analyzing multiple ground motion parameters, researchers have developed models that significantly improve accuracy in seismic intensity evaluation.
Breakthrough in Seismic Assessment Technology
Researchers have developed advanced machine learning models to improve instrumental seismic intensity assessment in Western China, according to recent scientific reports. The new approach leverages random forest (RF) and multilayer perceptron (MLP) algorithms to analyze relationships between multiple ground motion parameters and macro-intensity, potentially transforming how earthquake impacts are evaluated in the immediate aftermath of seismic events.
