Artificial neural network model of forecasting relative humidity in different humid and arid areas of China

被引：0
|
作者：
He, Zhenfang [1 ,2 ]
机构：
[1] Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, China
[2] University of Chinese Academy of Sciences, Beijing, China
来源：
Computer Modelling and New Technologies | 2014年 / 18卷 / 06期
关键词：
Atmospheric humidity;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：225 / 232
相关论文
共 50 条
  • [1] Applicability of ε-Support Vector Machine and Artificial Neural Network for Flood Forecasting in Humid, Semi-Humid and Semi-Arid Basins in China
    Bafitlhile, Thabo Michael
    Li, Zhijia
    WATER, 2019, 11 (01)
  • [2] Artificial neural networks in forecasting maximum and minimum relative humidity
    Kaur, Amanpreet
    Sharma, J. K.
    Agrawal, Sunil
    INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2011, 11 (05): : 197 - 199
  • [3] Application of artificial neural network for predicting hourly indoor air temperature and relative humidity in modern building in humid region
    Mba, Leopold
    Meukam, Pierre
    Kemajou, Alexis
    ENERGY AND BUILDINGS, 2016, 121 : 32 - 42
  • [4] Artificial neural networks approach for forecasting of monthly relative humidity in Sivas, Turkey
    Gurlek, Cahit
    JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2023, 37 (08) : 4391 - 4400
  • [5] Artificial neural networks approach for forecasting of monthly relative humidity in Sivas, Turkey
    Cahit Gurlek
    Journal of Mechanical Science and Technology, 2023, 37 : 4391 - 4400
  • [6] Daily average relative humidity forecasting with LSTM neural network and ANFIS approaches
    Arif Ozbek
    Şaban Ünal
    Mehmet Bilgili
    Theoretical and Applied Climatology, 2022, 150 : 697 - 714
  • [7] Daily average relative humidity forecasting with LSTM neural network and ANFIS approaches
    Ozbek, Arif
    Unal, Saban
    Bilgili, Mehmet
    THEORETICAL AND APPLIED CLIMATOLOGY, 2022, 150 (1-2) : 697 - 714
  • [8] A Neural Network Model to Predict Temperature and Relative Humidity in a Greenhouse
    Salazar, R.
    Lopez, I.
    Rojano, A.
    PROCEEDINGS OF THE INTERNATIONAL SYMPOSIUM ON HIGH TECHNOLOGY FOR GREENHOUSE SYSTEM MANAGEMENT, VOLS 1 AND 2, 2008, (801): : 539 - 545
  • [9] Artificial neural network models for forecasting intermittent monthly precipitation in arid regions
    Dahamsheh, Ahmad
    Aksoy, Hafzullah
    METEOROLOGICAL APPLICATIONS, 2009, 16 (03) : 325 - 337
  • [10] Study on the Overfitting of the Artificial Neural Network Forecasting Model
    金龙
    况雪源
    黄海洪
    覃志年
    王业宏
    Journal of Meteorological Research, 2005, (02) : 216 - 225
12345