LEARNING ALGORITHM OF STAGE CONTROL NBP NETWORK

被引:2
|
作者
Yan Lixiang Qin Zheng (Xi’an JiaoTong University
机构
关键词
Neural Back Promulgation(NBP) network; Training group descending; Enhanced Combination Algorithm (ECA);
D O I
暂无
中图分类号
TP183 [人工神经网络与计算];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This letter analyzes the reasons why the known Neural Back Promulgation (NBP) network learning algorithm has slower speed and greater sample error. Based on the analysis and experiment, the training group descending Enhanced Combination Algorithm (ECA) is proposed. The analysis of the generalized property and sample error shows that the ECA can heighten the study speed and reduce individual error.
引用
收藏
页码:467 / 471
页数:5
相关论文
共 50 条
  • [41] Reconstruction of Gene Regulatory Networks Based on Two-Stage Bayesian Network Structure Learning Algorithm
    Gui-xia Liu
    Wei Feng
    Han Wang
    Lei Liu
    Chun-guang Zhou
    [J]. Journal of Bionic Engineering, 2009, 6 : 86 - 92
  • [42] A Two Stage Learning Algorithm for a Growing-Pruning Spiking Neural Network for Pattern Classification Problems
    Dora, Shirin
    Sundaram, Suresh
    Sundararajan, Narasimhan
    [J]. 2015 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2015,
  • [44] Neural network-based iterative learning control of a piezo-driven nanopositioning stage
    Ling, Jie
    Feng, Zhao
    Chen, Long
    Zhu, Yuchuan
    Pan, Yongping
    [J]. PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY, 2023, 81 : 112 - 123
  • [45] Adaptive Vibration Control for Two-Stage Bionic Flapping Wings Based on Neural Network Algorithm
    Gao, Hejia
    Hu, Juqi
    Liu, Dongliang
    Zhu, Jinxiang
    [J]. 2022 41ST CHINESE CONTROL CONFERENCE (CCC), 2022, : 3539 - 3544
  • [46] NBP-based icosφ control strategy for DSTATCOM
    Mangaraj, Mrutyunjaya
    Panda, Anup Kumar
    [J]. IET POWER ELECTRONICS, 2017, 10 (12) : 1617 - 1625
  • [47] Quick acquisition of a control algorithm for small flying robots by a learning system combining an artificial neural network and an immunity algorithm
    Watanabe, Tohru
    Wakamatsu, Hideki
    Nishiwaki, Hidehiko
    [J]. PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINERING CONGRESS AND EXPOSITION 2007, VOL 9, PTS A-C: MECHANICAL SYSTEMS AND CONTROL, 2008, : 1589 - 1596
  • [48] Practical algorithm for network plan and control
    Jiang, Si-Jie
    Xu, Xiao-Fei
    Li, Quan-Long
    [J]. Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2002, 8 (02): : 141 - 145
  • [49] A NEW BENES NETWORK CONTROL ALGORITHM
    LEE, KY
    [J]. IEEE TRANSACTIONS ON COMPUTERS, 1987, 36 (06) : 768 - 772
  • [50] Reinforcement learning algorithm with network extension for pulse neural network
    Takita, M
    Osana, Y
    Hagiwara, M
    [J]. SMC 2000 CONFERENCE PROCEEDINGS: 2000 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOL 1-5, 2000, : 2586 - 2591