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- W4381948960 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" @default.
- W4381948960 created "2023-06-26" @default.
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- W4381948960 date "2023-06-24" @default.
- W4381948960 modified "2023-10-16" @default.
- W4381948960 title "Developing a neural network model for predicting the probability of earthquakes" @default.
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- W4381948960 doi "https://doi.org/10.30987/2658-6436-2023-2-40-49" @default.
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