Forecast of air temperature based on BP neural network

被引：0
|
作者：
Jiang, ZhengCun [1 ]
Jiang, WenPing [1 ]
机构：
[1] Shanghai Inst Technol, Elect & Elect Engn, 100 Haiquan Rd, Shanghai 200000, Peoples R China
来源：
2020 5TH INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATICS AND BIOMEDICAL SCIENCES (ICIIBMS 2020) | 2020年
关键词：
information fusion; neural network; temperature prediction;
D O I：
10.1109/ICIIBMS50712.2020.9336425
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The change of temperature is closely related to people's life, and the drastic change of the next day's temperature will affect people's normal life, so it is very important to accurately predict the next day's temperature. Information fusion technology is a process of automatic analysis and comprehensive processing of multi-source information in order to complete the required decision making and evaluation tasks. BP neural network is one of the information fusion algorithms, which can predict the data collected by various sensors. Therefore, the data collected by Canberra sensor, such as maximum temperature, minimum temperature, rainfall and maximum wind speed, are processed, and the BP neural network is constructed to predict the maximum and minimum temperature of the next day. The experimental results show that this method can well predict the maximum and minimum temperature of the next day
引用
收藏
页码：25 / 28
页数：4
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