Research on evaporation duct height prediction based on back propagation neural network

被引：0
|
作者：
Zhao, Wenpeng [1 ,2 ]
Li, Jincai [1 ]
Zhao, Jun [1 ]
Jiang, Tao [1 ,2 ]
Zhu, Junxing [1 ]
Zhao, Dandan [3 ]
Zhao, Juan [1 ]
机构：
[1] College of Meteorology and Oceanography, National University of Defense Technology, Changsha,410073, China
[2] College of Computer Science, National University of Defense Technology, Changsha,410073, China
[3] State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing,100029, China
来源：
IET Microwaves, Antennas and Propagation | 2020年 / 14卷 / 13期
关键词：
32;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：1547 / 1554
相关论文
共 50 条
  • [1] Research on evaporation duct height prediction based on back propagation neural network
    Zhao, Wenpeng
    Li, Jincai
    Zhao, Jun
    Jiang, Tao
    Zhu, Junxing
    Zhao, Dandan
    Zhao, Juan
    [J]. IET MICROWAVES ANTENNAS & PROPAGATION, 2020, 14 (13) : 1547 - 1554
  • [2] An Evaporation Duct Height Prediction Model Based on a Long Short-Term Memory Neural Network
    Zhao, Wenpeng
    Zhao, Jun
    Li, Jincai
    Zhao, Dandan
    Huang, Lilan
    Zhu, Junxing
    Lu, Jingze
    Wang, Xiang
    [J]. IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 2021, 69 (11) : 7795 - 7804
  • [3] XGB Model: Research on Evaporation Duct Height Prediction Based on XGBoost Algorithm
    Zhao, Wenpeng
    Li, Jincai
    Zhao, Jun
    Zhao, Dandan
    Lu, Jingze
    Wang, Xiang
    [J]. RADIOENGINEERING, 2020, 29 (01) : 81 - 93
  • [4] Research on Lifetime Prediction Method of Tower Crane Based on Back Propagation Neural Network
    Yu, Yang
    Tian, Yulin
    Feng, Naili
    Lei, Ming
    [J]. ADVANCES IN ELECTRONIC COMMERCE, WEB APPLICATION AND COMMUNICATION, VOL 2, 2012, 149 : 111 - +
  • [5] The Research of back propagation neural network based on genetic algorithm in the gas concentration prediction
    Liu, Dapeng
    Ma, Fengying
    [J]. PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON INFORMATION SCIENCES, MACHINERY, MATERIALS AND ENERGY (ICISMME 2015), 2015, 126 : 832 - 835
  • [6] Research on prediction model of asphalt pavement subsidence development based on back propagation neural network
    Xiao, M. M.
    Qian, S. B.
    [J]. GREEN AND INTELLIGENT TECHNOLOGIES FOR SUSTAINABLE AND SMART ASPHALT PAVEMENTS, IFRAE 2021, 2022, : 742 - 748
  • [7] Research on Renewal Prediction of Life Insurance Policy Based on Back Propagation (BP) Neural Network
    Liu, Dayong
    He, Xu
    Xiao, Yan
    Wang, Xujin
    [J]. 2022 INTERNATIONAL CONFERENCE ON BIG DATA, INFORMATION AND COMPUTER NETWORK (BDICN 2022), 2022, : 664 - 668
  • [8] Research on the Back Propagation Neural Network Haze Prediction Model Based on Particle Swarm Optimization
    Zhao, Zhi
    Chen, Qiang
    [J]. BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2020, 127 : 14 - 14
  • [9] An Evaporation Duct Height Prediction Method Based on Deep Learning
    Zhu, Xiaoyu
    Li, Jincai
    Zhu, Min
    Jiang, Zhuhui
    Li, Yinglun
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2018, 15 (09) : 1307 - 1311
  • [10] Embedded software fault prediction based on back propagation neural network
    Zong, Pengyang
    Wang, Yichen
    Xie, Feng
    [J]. 2018 IEEE 18TH INTERNATIONAL CONFERENCE ON SOFTWARE QUALITY, RELIABILITY AND SECURITY COMPANION (QRS-C), 2018, : 553 - 558
12345