Real-Time Earthquake Forecasting using Multidimensional Hierarchical Graph Neuron (mHGN)

Abstract

Abstract Various earthquake forecasting technologies have been introduced for a while, but the quality of the results is not yet convincing. The attempt to achieve a stable technology is still very demanding, due to increasing number of earthquake incidences lately. Since it is not trivial working on complex—with numerous parameters—and big data, the research on discovering such earthquake forecast system takes long and winding roads. It is still very difficult to establish a sophisticated system that can be used to forecast earthquake effectively, but the concept of Multidimensional Hierarchical Graph Neuron (mHGN) has opened up a new opportunity to forecast earthquake not only effectively but also in real-time manner. The 91% of its accuracy in recognizing almost 11% distorted/incomplete patterns has given a strong indication that the accuracy of mHGN in forecasting earthquake will be high as well.