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
相关论文
共 50 条
  • [1] Based on BP neural network discrete data forecast
    Wang Jing
    Wang Guoli
    Wu Jianhui
    Su Yu
    [J]. INTELLIGENT STRUCTURE AND VIBRATION CONTROL, PTS 1 AND 2, 2011, 50-51 : 977 - 981
  • [2] Research on the Combination Forecast Model based on the BP Neural Network
    Zong, Shengwang
    [J]. PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ENGINEERING, 2015, 17 : 49 - 53
  • [3] Forecast of Blasting Fragmentation Distribution Based on BP Neural Network
    Hong, Gao
    Liang, Fu Zhi
    [J]. HYDRAULIC EQUIPMENT AND SUPPORT SYSTEMS FOR MINING, 2013, 619 : 3 - +
  • [4] Forecast of General Aviation Flying Hours Based on BP Neural Network
    Wen Jun
    Zhang Qiaoyan
    Tan Zhaoyang
    Zhang Shuo
    [J]. 2012 2ND INTERNATIONAL CONFERENCE ON APPLIED ROBOTICS FOR THE POWER INDUSTRY (CARPI), 2012, : 1102 - 1105
  • [5] Cost Forecast of Overhead Transmission Line Based on BP Neural Network
    Zhou, Jun
    Wang, Hanliang
    Yang, Yueguang
    Ruan, Jiangjun
    [J]. INSTRUMENTATION, MEASUREMENT, CIRCUITS AND SYSTEMS, 2012, 127 : 433 - 440
  • [6] Forecast the Biological Activity of Nitrobenzene Compound Based on BP Neural Network
    Jiang, HuiYu
    Jiang, HuiYong
    Wei, Tao
    Yang, Feng
    [J]. PACIIA: 2008 PACIFIC-ASIA WORKSHOP ON COMPUTATIONAL INTELLIGENCE AND INDUSTRIAL APPLICATION, VOLS 1-3, PROCEEDINGS, 2008, : 1056 - +
  • [7] Sales Forecast of Marketing Brand Based on BP Neural Network Model
    Feng, Wei
    [J]. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 2022
  • [8] Crude Oil Prices Forecast Based on EMD and BP Neural Network
    Yang, Hua
    Zhang, Yunfei
    Jiang, Feng
    [J]. PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC), 2019, : 8944 - 8949
  • [9] Analysis of Heat Exchanger Performance Forecast Based on the BP Neural Network
    Meng, Yanmei
    Pang, Haifeng
    Jiang, Yan
    Zhou, Quan
    Zheng, Tingting
    Jin, Qiaoling
    [J]. MANUFACTURING ENGINEERING AND AUTOMATION I, PTS 1-3, 2011, 139-141 : 1697 - 1701
  • [10] The Application on the Forecast of Plant Disease Based on an Improved BP Neural Network
    Jin, Baoshi
    Zuo, Yuhu
    Ma, Xiaodan
    Guan, Haiou
    Tan, Feng
    [J]. MATERIALS SCIENCE AND INFORMATION TECHNOLOGY, PTS 1-8, 2012, 433-440 : 5469 - +
12345