The application of improved back propagation neural network model

被引：0
|
作者：
Li, Fang [1 ]
Wu, Changze [2 ]
机构：
[1] Chongqing City Management College, Chongqing, China
[2] College of Computer Science, Chongqing University, Chongqing, China
来源：
Computer Modelling and New Technologies | 2014年 / 18卷 / 12期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：34 / 39
相关论文
共 50 条
  • [41] A Novel Travel Adviser Based on Improved Back-propagation Neural Network
    Yang, Min
    Zhang, Xuedan
    2016 7TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS, MODELLING AND SIMULATION (ISMS), 2016, : 283 - 288
  • [42] Deformation Prediction of Landslide Based on Improved Back-propagation Neural Network
    Chen, Huangqiong
    Zeng, Zhigang
    COGNITIVE COMPUTATION, 2013, 5 (01) : 56 - 62
  • [43] Auto recognition of carbonate microfacies based on an improved back propagation neural network
    Yu-xi Wang
    Bo Liu
    Ji-xian Gao
    Xue-feng Zhang
    Shun-li Li
    Jian-qiang Liu
    Ze-pu Tian
    Journal of Central South University, 2015, 22 : 3521 - 3535
  • [44] Auto recognition of carbonate microfacies based on an improved back propagation neural network
    Wang Yu-xi
    Liu Bo
    Gao Ji-xian
    Zhang Xue-feng
    Li Shun-li
    Liu Jian-qiang
    Tian Ze-pu
    JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2015, 22 (09) : 3521 - 3535
  • [45] A Disease Detection Method of Liver Based on Improved Back Propagation Neural Network
    Jin, Xin-Yu
    Jin, Qi-Liang
    Yang, Xiong
    2015 8TH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID), VOL 2, 2015, : 111 - 113
  • [46] Security analysis of information in campus network based on improved back-propagation neural network
    Zhao X.H.
    Telecommunications and Radio Engineering (English translation of Elektrosvyaz and Radiotekhnika), 2021, 80 (02): : 35 - 46
  • [47] Novel application of a back-propagation artificial neural network model formulated to predict algal bloom
    Yabunaka, K
    Hosomi, M
    Murakami, A
    WATER SCIENCE AND TECHNOLOGY, 1997, 36 (05) : 89 - 97
  • [48] Application of back propagation neural network model optimized by particle swarm algorithm in predicting the risk of hypertension
    Yan, Yan
    Chen, Rong
    Yang, Zihua
    Ma, Yong
    Huang, Jialu
    Luo, Ling
    Liu, Hao
    Xu, Jian
    Chen, Weiying
    Ding, Yuanlin
    Kong, Danli
    Zhang, Qiaoli
    Yu, Haibing
    JOURNAL OF CLINICAL HYPERTENSION, 2022, 24 (12): : 1606 - 1617
  • [49] An improved evaluation model for supplier selection based on particle swarm optimisation-back propagation neural network
    Yu, Jun
    Li, Daming
    Wang, Aihui
    Liu, Ping
    Song, Jingwen
    Han, Xiaobo
    IET COLLABORATIVE INTELLIGENT MANUFACTURING, 2022, 4 (04) : 316 - 325
  • [50] Prediction model of microwave calcining of ammonium diuranate using incremental improved back-propagation neural network
    Li, Yingwei
    Liu, Bingguo
    Peng, Jinhui
    Li, Wei
    Huang, Daifu
    Zhang, Libo
    ACTA METALLURGICA SINICA-ENGLISH LETTERS, 2011, 24 (01) : 34 - 42
12345