Разработка нейросетевой модели для прогнозирования вероятности землетрясений

Abstract

The aim of the study is to develop a model for predicting the probability of earthquakes. The article is devoted to the problem of applying the probability theory and mathematical statistics to earthquake forecasting. Research methods are modelling, artificial neural networks. The novelty of the work is developing a complex of a mathematical model on the Markov chain and a neural network model. The study results in generating a model with a flexible adaptive structure of the neural network. The findings state that a set of models allows predicting the probability of an earthquake