Structure modality of the error function for feedforward neural networks

被引：0
|
作者：
Jin, Cong
机构：
来源：
Jisuanji Yanjiu yu Fazhan/Computer Research and Development | 2003年 / 40卷 / 07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
  • [41] On the optimal structure design of multilayer feedforward neural networks for pattern recognition
    Chen, DQ
    Burrell, P
    INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2002, 16 (04) : 375 - 398
  • [42] Constructive algorithms for structure learning in feedforward neural networks for regression problems
    Kwok, TY
    Yeung, DY
    IEEE TRANSACTIONS ON NEURAL NETWORKS, 1997, 8 (03): : 630 - 645
  • [43] Training and structure design of feedforward neural networks by employing genetic algorithms
    Bohari, AR
    Mizuno, N
    1998 JAPAN-U.S.A. SYMPOSIUM ON FLEXIBLE AUTOMATION - PROCEEDINGS, VOLS I AND II, 1998, : 769 - 776
  • [44] Synthesis of feedforward networks in supremum error bound
    Ciesielski, K
    Sacha, JP
    Cios, KJ
    IEEE TRANSACTIONS ON NEURAL NETWORKS, 2000, 11 (06): : 1213 - 1227
  • [45] Type-2 fuzzy activation function for multilayer feedforward neural networks
    Karaköse, M
    Akin, E
    2004 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN & CYBERNETICS, VOLS 1-7, 2004, : 3762 - 3767
  • [46] The faulty behavior of feedforward neural networks with hard-limiting activation function
    Tian, ZY
    Lin, TTY
    Yang, SY
    Tong, SB
    NEURAL COMPUTATION, 1997, 9 (05) : 1109 - 1126
  • [47] A robust and effective learning algorithm for feedforward neural networks based on the influence function
    Allende, H
    Salas, R
    Moraga, C
    PATTERN RECOGNITION AND IMAGE ANALYSIS, PROCEEDINGS, 2003, 2652 : 28 - 36
  • [48] A robust learning algorithm for feedforward neural networks with adaptive spline activation function
    Hu, LY
    Sun, ZQ
    ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 1, PROCEEDINGS, 2005, 3496 : 566 - 571
  • [49] Evolutionary discovery of learning rules for feedforward neural networks with step activation function
    Radi, A
    Poli, R
    GECCO-99: PROCEEDINGS OF THE GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, 1999, : 1178 - 1183
  • [50] Oscillation Characteristics of Feedforward Neural Networks
    Li, Yudi
    Wu, Aiguo
    Dong, Na
    Du, Lijia
    Chai, Yi
    2018 13TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2018, : 1074 - 1079
12345