A Learning Algorithm for Self-Organizing Maps Based on a Low-Pass Filter Scheme

被引:1
作者
Tucci, Mauro [1 ]
Raugi, Marco [1 ]
机构
[1] Univ Pisa, Dept Elect Syst & Automat, Pisa, Italy
来源
PROCEEDINGS 2009 INTERNATIONAL CONFERENCE ON ADAPTIVE AND INTELLIGENT SYSTEMS, ICAIS 2009 | 2009年
关键词
self-organizing maps; incremental learning; digital filters;
D O I
10.1109/ICAIS.2009.15
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this work a novel training algorithm is proposed for the formation of topology preserving maps. In the proposed algorithm the weights are updated incrementally by using a higher-order difference equation, which implements a low pass digital filter. It is shown that by suitably choosing the filter the learning process can adaptively follow a specific dynamic.
引用
收藏
页码:31 / 36
页数:6
相关论文
共 8 条
  • [1] Antoniou A., 1993, Digital Filters : Analysis, Design, and Applications
  • [2] The parameterless self-organizing map algorithm
    Berglund, E
    Sitte, J
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS, 2006, 17 (02): : 305 - 316
  • [3] Rival-model penalized self-organizing map
    Cheung, Yiu-ming
    Law, Lap-tak
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS, 2007, 18 (01): : 289 - 295
  • [4] Self-organizing map with time-invariant learning rate and its exponential stability analysis
    Cho, S
    Seok, J
    [J]. NEUROCOMPUTING, 1998, 19 (1-3) : 1 - 11
  • [5] Self-organizing feature maps with self-adjusting learning parameters
    Haese, K
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS, 1998, 9 (06): : 1270 - 1278
  • [6] Engineering applications of the self-organizing map
    Kohonen, T
    Oja, E
    Simula, O
    Visa, A
    Kangas, J
    [J]. PROCEEDINGS OF THE IEEE, 1996, 84 (10) : 1358 - 1384
  • [7] Kohonen T., 2001, SELF ORG MAPS, V3rd ed, DOI 10.1007/978-3-642-56927-2
  • [8] MARTINETZ B, 1993, IEEE T NEURAL NETWOR, V44, P558