Generalized self-organized learning in neural network modelling for nonlinear plants

被引：0
|
作者：
Ling, Ding
Junyi, Li
Yugeng, Xi
机构：
来源：
Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University | 1993年 / 27卷 / 05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
相关论文
共 50 条
  • [1] Self-Organized Neural Network Structure Depending on the STDP Learning Rules
    Kato, Hideyuki
    Kimura, Takayuki
    Ikeguchi, Tohru
    APPLICATIONS OF NONLINEAR DYNAMICS-MODEL AND DESIGN OF COMPLEX SYSTEMS, 2009, : 413 - +
  • [2] Self-Organized Criticality in Neural Network Models
    Rybarsch, Matthias
    Bornholdt, Stefan
    CRITICALITY IN NEURAL SYSTEMS, 2014, : 227 - 254
  • [3] Self-organized Cognitive Algebraic Neural Network
    Sen, Prabir
    ICAART: PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, VOL 2, 2020, : 836 - 845
  • [4] Self-organized function localization neural network
    Sasakawa, T
    Hu, JL
    Hirasawa, K
    2004 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS, 2004, : 1463 - 1468
  • [5] Design interpretable neural network trees through self-organized learning of features
    Xu, QZ
    Zhao, QF
    Pei, WJ
    Yang, LX
    He, ZY
    2004 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS, 2004, : 1433 - 1437
  • [6] Image compression using a self-organized neural network
    Ji, Q
    APPLICATIONS OF ARTIFICIAL NEURAL NETWORKS IN IMAGE PROCESSING II, 1997, 3030 : 56 - 59
  • [7] Self-organized criticality in a model based on neural network
    Zhao, XW
    Chen, TL
    COMMUNICATIONS IN THEORETICAL PHYSICS, 2001, 36 (03) : 351 - 356
  • [8] Feature recognition based on self-organized neural network
    College of Computer Science and Technology, Jilin University, Changchun 130012, China
    不详
    Jilin Daxue Xuebao (Gongxueban), 2009, 1 (148-153):
  • [9] A Self-Organized Neural Comparator
    Luduena, Guillermo A.
    Gros, Claudius
    NEURAL COMPUTATION, 2013, 25 (04) : 1006 - 1028
  • [10] Key features of neural variability emerge from self-organized sequence learning in a deterministic neural network
    Christoph Hartmann
    Andreea Lazar
    Jochen Triesch
    BMC Neuroscience, 16 (Suppl 1)
12345