FUNCTIONALLY EQUIVALENT FEEDFORWARD NEURAL NETWORKS

被引：40
|
作者：
KURKOVA, V [1 ]
KAINEN, PC [1 ]
机构：
[1] IND MATH, WASHINGTON, DC 20007 USA
来源：
NEURAL COMPUTATION | 1994年 / 6卷 / 03期
关键词：
D O I：
10.1162/neco.1994.6.3.543
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
For a feedforward perceptron type architecture with a single hidden layer but with a quite general activation function, we characterize the relation between pairs of weight vectors determining networks with the same input-output function.
引用
收藏
页码：543 / 558
页数：16
相关论文
共 50 条
  • [1] Fuzzy logic systems are equivalent to feedforward neural networks
    Li, HX
    [J]. SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES, 2000, 43 (01): : 42 - 54
  • [2] Fuzzy logic systems are equivalent to feedforward neural networks
    李洪兴
    [J]. Science China Technological Sciences, 2000, (01) : 42 - 54
  • [3] Fuzzy logic systems are equivalent to feedforward neural networks
    Hongxing Li
    [J]. Science in China Series E: Technological Sciences, 2000, 43 : 42 - 54
  • [4] Equivalent Relationship of Feedforward Neural Networks and Real-Time Face Detection System
    Ge, Shuzhi Sam
    Pan, Yaozhang
    Zhang, Qun
    Chen, Lei
    [J]. ADVANCES IN ROBOTICS, 2009, 5744 : 301 - 310
  • [5] The capacity of feedforward neural networks
    Baldi, Pierre
    Vershynin, Roman
    [J]. NEURAL NETWORKS, 2019, 116 : 288 - 311
  • [6] ON TRAINING FEEDFORWARD NEURAL NETWORKS
    KAK, S
    [J]. PRAMANA-JOURNAL OF PHYSICS, 1993, 40 (01): : 35 - 42
  • [7] Optimization of feedforward neural networks
    Han, J
    Moraga, C
    Sinne, S
    [J]. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 1996, 9 (02) : 109 - 119
  • [8] PROPERTIES OF FEEDFORWARD NEURAL NETWORKS
    BUDINICH, M
    MILOTTI, E
    [J]. JOURNAL OF PHYSICS A-MATHEMATICAL AND GENERAL, 1992, 25 (07): : 1903 - 1914
  • [9] Oscillation Characteristics of Feedforward Neural Networks
    Li, Yudi
    Wu, Aiguo
    Dong, Na
    Du, Lijia
    Chai, Yi
    [J]. 2018 13TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2018, : 1074 - 1079
  • [10] Randomized Algorithms for Feedforward Neural Networks
    Li Fan-jun
    Li Ying
    [J]. PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016, 2016, : 3664 - 3668
12345