Performance analysis of locally recurrent neural networks

被引：0
|
作者：
Univ of Cagliari, Cagliari, Italy [1 ]
机构：
来源：
COMPEL Int J Comput Math Electr Electron Eng | / 5-6卷 / 708-716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
  • [31] Computationally efficient locally recurrent neural networks for on-line signal processing
    Hussain, A
    Soraghan, JJ
    Durrant, TS
    Campbell, DR
    ADVANCES IN INTELLIGENT SYSTEMS, 1997, 41 : 87 - 91
  • [32] Failure and Reliability Predictions by Infinite Impulse Response Locally Recurrent Neural Networks
    Zio, Enrico
    Broggi, Matteo
    Golea, Lucia R.
    Pedroni, Nicola
    CISAP5: INTERNATIONAL CONFERENCE ON SAFETY & ENVIRONMENT IN PROCESS & POWER INDUSTRY, PT 1, 2012, 26 : 117 - 122
  • [33] Simulating the dynamics of the neutron flux in a nuclear reactor by locally recurrent neural networks
    Cadini, F.
    Zio, E.
    Pedroni, N.
    ANNALS OF NUCLEAR ENERGY, 2007, 34 (06) : 483 - 495
  • [34] Locally recurrent neural networks for wind speed prediction using spatial correlation
    Barbounis, T. G.
    Theocharis, J. B.
    INFORMATION SCIENCES, 2007, 177 (24) : 5775 - 5797
  • [35] A constrained optimization algorithm for training locally recurrent globally feedforward neural networks
    Mastorocostas, PA
    Proceedings of the International Joint Conference on Neural Networks (IJCNN), Vols 1-5, 2005, : 717 - 722
  • [36] Nuclear reactor dynamics on-line estimation by Locally Recurrent Neural Networks
    Zio, Enrico
    Broggi, Matteo
    Pedroni, Nicola
    PROGRESS IN NUCLEAR ENERGY, 2009, 51 (03) : 573 - 581
  • [37] Locally weighted neural networks for an analysis of the biosensor response
    Baronas, Romas
    Ivanauskas, Feliksas
    Maslovskis, Romualdas
    Radavicius, Marijus
    Vaitkus, Pranas
    KYBERNETIKA, 2007, 43 (01) : 21 - 30
  • [38] Recurrent neural networks
    Siegelmann, HT
    COMPUTER SCIENCE TODAY, 1995, 1000 : 29 - 45
  • [39] Locally recurrent neural networks for long-term wind speed and power prediction
    Barbounis, TG
    Theocharis, JB
    NEUROCOMPUTING, 2006, 69 (4-6) : 466 - 496
  • [40] Exploiting the potential of auditory preprocessing for robust speech recognition by locally recurrent neural networks
    Kasper, K
    Reininger, H
    Wolf, D
    1997 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I - V: VOL I: PLENARY, EXPERT SUMMARIES, SPECIAL, AUDIO, UNDERWATER ACOUSTICS, VLSI; VOL II: SPEECH PROCESSING; VOL III: SPEECH PROCESSING, DIGITAL SIGNAL PROCESSING; VOL IV: MULTIDIMENSIONAL SIGNAL PROCESSING, NEURAL NETWORKS - VOL V: STATISTICAL SIGNAL AND ARRAY PROCESSING, APPLICATIONS, 1997, : 1223 - 1226
12345