Intelligent systems for meteorological events forecast

被引：0
|
作者：
Pasero, E [1 ]
Moniaci, W [1 ]
Meindl, T [1 ]
机构：
[1] INFN, Sez Torino, Dept Elect Engn, I-10129 Turin, Italy
来源：
Proceedings of the International Joint Conference on Neural Networks (IJCNN), Vols 1-5 | 2005年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper a committee of "intelligent systems" evaluates the occurrence of meteorological phenomena. Rain and fog are the events which are considered. The forecast system is based on a multi-network approach which evaluates data coming from electronic sensors and from satellite observations. More data and more engines are used to increase the reliability of the event prediction. The increased complexity of the global system requires more data coming from different sources but gives a good reliability.
引用
收藏
页码：2686 / 2688
页数：3
相关论文
共 50 条
  • [41] Temporal Forecast Uncertainty for Ramp Events
    Greaves, Beatrice
    Collins, Jonathan
    Parkes, Jeremy
    Tindal, Andrew
    [J]. WIND ENGINEERING, 2009, 33 (04) : 309 - 319
  • [42] Impact and Challenges of Intelligent IoT in Meteorological Science
    Chen, Yi
    Hayawi, Kadhim
    He, Jianxin
    Song, Huanhuan
    Wang, Jiarui
    [J]. IEEE Internet of Things Magazine, 2023, 6 (02): : 58 - 63
  • [43] AA-forecast: anomaly-aware forecast for extreme events
    Farhangi, Ashkan
    Bian, Jiang
    Huang, Arthur
    Xiong, Haoyi
    Wang, Jun
    Guo, Zhishan
    [J]. DATA MINING AND KNOWLEDGE DISCOVERY, 2023, 37 (03) : 1209 - 1229
  • [44] A NEW WAY TO FORECAST EXTREME EVENTS
    不详
    [J]. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 2017, 98 (01) : 17 - 17
  • [45] Design of Intelligent Meteorological System Based on MEMS
    Wang Hao
    Nie Meng
    Huang Qing'an
    [J]. MICRO-NANO TECHNOLOGY XV, 2014, 609-610 : 801 - 806
  • [46] A MULTISEASON CLIMATE FORECAST SYSTEM AT THE NATIONAL-METEOROLOGICAL-CENTER
    JI, M
    KUMAR, A
    LEETMAA, A
    [J]. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 1994, 75 (04) : 569 - 577
  • [47] Statistical characteristics of forecast meteorological fields and their application for objective analysis
    Aldukhov, O.A.
    Bagrov, A.N.
    Gordin, V.A.
    [J]. Meteorologiya i Gidrologiya, 2002, (10): : 18 - 34
  • [48] Optimize satellite imaging parameters using meteorological forecast data
    Bai, Yang
    Wang, Ling-Li
    Wu, Hong-Yu
    Tian, Shi-Qiang
    Wang, Dong
    Zhong, Xing
    Han, Wei
    Yang, Jian-Xin
    [J]. Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2021, 29 (03): : 628 - 636
  • [49] Advances in hydro-meteorological forecast under changing environment
    Lei, Xiaohui
    Wang, Hao
    Liao, Weihong
    Yang, Mingxiang
    Gui, Ziling
    [J]. Shuili Xuebao/Journal of Hydraulic Engineering, 2018, 49 (01): : 9 - 18
  • [50] Lidar measurements for the short-term forecast of meteorological stability
    Polkanov, Yury
    Zlidanovichy, A. K.
    [J]. FOURTEENTH INTERNATIONAL SYMPOSIUM ON ATMOSPHERIC AND OCEAN OPTICS/ATMOSPHERIC PHYSICS, 2008, 6936
12345