Attempt to an Analysis of the biological neural system algorithm of human body induced earthquake precursors

Ada is the sixth player in the second China AETE (Artificial Intelligence Earthquake Prediction) Competition, We have statistically verified his earthquake prediction records from 2011 to 2022. The accuracy rate of earthquake prediction is more than 70% (63% of the total number of predicted earthquakes with magnitude 5.5), and the confidence level is 95%. Since the reliable earthquake precursor signal described by Ada is quite consistent with the characteristics of the Alfven wave, we propose a hypothesis on how to trigger an impending earthquake on the Alfven (Q G) wave model of Gillette et al. The plume of the upper mantle plume invades the asthenosphere as the deep layers of Earth's interior are in a state of convection, where heavy, cold melts fall and hot, light melts rise. Under specific conditions, it is possible to generate bulk and surface plasma sheet in magma or lithosphere, thus forming Alfven nonlinear isolated wavelet. The Alfven wave frequently disturbs the geomagnetic field, releasing huge heat and kinetic energy, just like pulling the trigger to trigger an impending earthquake.

How to explain Ada senses complex phenomena such as Alfven waves and how to locate the epicenter of earthquakes, we boldly speculate that there may be special magnetic induction cells in the human specific functions, and try to analyze how the advanced biological nervous system decodes earthquake precursors and the algorithm process of locating the epicenter, and put forward several viewpoints that are worthy of in-depth research in frontier science.