Temperature prediction and analysis based on improved GA-BP neural network
In order to predict the temperature change of Laoshan scenic area in Qingdao more accurately, a new back propagation neural network (BPNN) prediction model is proposed in this study. Temperature change affects our lives in various ways. The challenge that neural networks tend to fall into local opti...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
AIMS Press
2022-10-01
|
Series: | AIMS Environmental Science |
Subjects: | |
Online Access: | https://www.aimspress.com/article/doi/10.3934/environsci.2022042?viewType=HTML |