Retraction Note: Neural network–based urban rainfall trend estimation and adolescent anxiety management

Abstract

The artificial neural network prediction model is a modern prediction method with computational intelligence as the core. Now, the artificial neural network has been applied to various fields. It can play its own role in each field, but the neural network is used in the prediction of rainfall water quality. It is still in its infancy. This article studies the artificial neural network and artificial neural network for water quality prediction. The education system is a very complex mechanism. There are also large differences. The height and space of urban rainfall are prone to variability. This will cause floods and flood disasters. It is very dangerous for the city, and it will also seriously affect the development of the city. Therefore, the artificial neural network is very important for the prediction of rainfall water quality. If we can use the artificial neural network to recognize the temporal and spatial variability of urban rainfall, then flood disasters can be prevented in advance. This paper uses a variety of algorithms and conducts many experiments to discover the small-scale temporal and spatial variation of rainfall in a certain city. The declining mental health status of Chinese adolescents is not optimistic. It is mainly manifested in anxiety, emotional instability, negativity, and psychological disorders. After a long period of observation, it has been found that the psychological problems of adolescents are mainly caused by disharmony in interpersonal relationships. Study pressure is high and emotions cannot be relieved. Therefore, we have conducted special research in these areas, hoping to have a further understanding of the development of anxiety and obtain corresponding solutions to effectively alleviate the psychological problems of adolescents.