Open AccessResearch on Geological Disaster Forecast Method Based on PCA Structure BP Model
Author(s) -
Zhangbao Luan
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2083/4/042004
Subject(s) - mm5 , artificial neural network , hazard , computer science , data mining , econometrics , artificial intelligence , meteorology , mathematics , geography , precipitation , chemistry , organic chemistry
The BP neural network prediction method constructed by PCA and the geological hazard prediction method based on the MM5 numerical model were used to establish geological hazard classification short-term objective forecast models. The calculation results show that these two objective forecast methods have a good fitting effect on historical samples. The independent sample’s trial report effect is also good; based on the above two objective forecasting methods, through correction, the comprehensive forecast product is finally obtained.