Research on Migration Risk of Island Countries Based on Neural Network

Abstract

Sea level rise is a slow-onset natural disaster, with cumulative and gradual nature. It has a considerable impact on human survival, economic development and cultural inheritance [1]. Coupled with the impact of land subsidence in many areas along the coast, sea level rise may reach 1 meter or even higher within a century [2]. In order to meet the increasingly severe energy policy challenges and protect the unique culture that is about to disappear, it is important to establish a model that can assess whether a country or region has migration risks. This article will build a neural network model to assess the risk of each island country and predict its possibility of becoming a climate refugee country, in order to help people around the world to take precautionary measures in advance, and help risky countries prepare for migrating nationals in advance. And through further analysis of the data of 11 countries that have been determined by the Office of the United Nations High Commissioner for Refugees in Syria, the model construction and model calculation are carried out [3]. Finally, according to the imbalanced population distribution index and population density concentration index of 11 countries [4], we can know that in Bosnia and Herzegovina the risk of losing the culture of Syrian refugees is relatively low.