An analysis of noisy recurrent neural networks

被引：0
|
作者：
Das, S [1 ]
Olurotimi, O [1 ]
机构：
[1] GEORGE MASON UNIV,DEPT ELECT & COMP ENGN,FAIRFAX,VA 22030
来源：
ICNN - 1996 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS, VOLS. 1-4 | 1996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：
引用
收藏
页码：1297 / 1301
页数：5
相关论文
共 50 条
  • [21] Performance analysis of locally recurrent neural networks
    Univ of Cagliari, Cagliari, Italy
    COMPEL Int J Comput Math Electr Electron Eng, 5-6 (708-716):
  • [22] ANALYSIS AND IMPROVEMENT OF RECURRENT CORRELATION NEURAL NETWORKS
    Zhang Yongjun(Institute of Command and Technology
    JournalofElectronics(China), 1997, (03) : 215 - 219
  • [23] Dynamic analysis of stochastic recurrent neural networks
    Huang, Chuangxia
    He, Yigang
    Chen, Ping
    NEURAL PROCESSING LETTERS, 2008, 27 (03) : 267 - 276
  • [24] Customer base analysis with recurrent neural networks
    Valendin, Jan
    Reutterer, Thomas
    Platzer, Michael
    Kalcher, Klaudius
    INTERNATIONAL JOURNAL OF RESEARCH IN MARKETING, 2022, 39 (04) : 988 - 1018
  • [25] Dynamic recurrent neural networks: a dynamical analysis
    Faculte Polytechnique de Mons, Mons, Belgium
    IEEE Trans Syst Man Cybern Part B Cybern, 5 (692-706):
  • [26] Recurrent Neural Networks Analysis for Embedded Systems
    Neves, Goncalo Fontes
    Chaudron, Jean-Baptiste
    Dion, Arnaud
    PROCEEDINGS OF THE 13TH INTERNATIONAL JOINT CONFERENCE ON COMPUTATIONAL INTELLIGENCE (IJCCI), 2021, : 374 - 383
  • [27] Dynamic recurrent neural networks: A dynamical analysis
    Draye, JPS
    Pavisic, DA
    Cheron, GA
    Libert, GA
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 1996, 26 (05): : 692 - 706
  • [28] Nonlinear enhancement of noisy speech, using continuous attractor dynamics formed in recurrent neural networks
    Dehyadegary, Louiza
    Seyyedsalehi, Seyyed Ali
    Nejadgholi, Isar
    NEUROCOMPUTING, 2011, 74 (17) : 2716 - 2724
  • [29] NOISY TRAINING FOR DEEP NEURAL NETWORKS
    Meng, Xiangtao
    Liu, Chao
    Zhang, Zhiyong
    Wang, Dong
    2014 IEEE CHINA SUMMIT & INTERNATIONAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (CHINASIP), 2014, : 16 - 20
  • [30] Training Neural Networks on Noisy Data
    Rusiecki, Andrzej
    Kordos, Miroslaw
    Kaminski, Tomasz
    Gren, Krzysztof
    ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING ICAISC 2014, PT I, 2014, 8467 : 131 - 142
12345