Academic Journal of Computing & Information Science, 2022, 5(9); doi: 10.25236/AJCIS.2022.050901.
Yi Wu1, Lei Huang2, Anqi Chen1, Cai Chen1
1School of Automotive and Traffic Engineering, Hubei University of Arts and Sciences, Hubei, China
2College of Science, Liaoning Technical UniversitFux, Liaoning, China
This paper is based on a quantitative analysis of the 2021 flood event in Zhengzhou City. The precipitation data of more cities in China are collected and compiled for many years, and the precipitation trends of the cities they collect are analyzed. It also collects weather data from more cities, uses various methods to forecast and analyze cities that may experience extreme rainfall in the future, and compares and analyzes the forecast results.
Quadratic exponential smoothing method; LSTM neural network model; Elm Algorithm
Yi Wu, Lei Huang, Anqi Chen, Cai Chen. Study on Urban Rainfall Trend Based on Neural Network and Grey Correlation Analysis Model. Academic Journal of Computing & Information Science (2022), Vol. 5, Issue 9: 1-6. https://doi.org/10.25236/AJCIS.2022.050901.
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