Abstract
Fire is one of the major disasters that seriously threaten public safety and social development, so it is particularly essential to predict the amount of insurance compensation after a fire. This paper predicts the number of fire occurrences from various aspects such as region, housing, and car fires based on the LSTM model. A model for predicting insurance compensation after a fire is established based on the LSTM-Poisson distribution model and factors such as average house prices. Taking the number of fire occurrences in four regions of the UK from 2001 to 2021 as a case, the fire insurance compensation model is used to predict based on the average house prices and car prices in the UK, providing a reference for insurance companies in terms of fire insurance compensation.
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