Self-organizing map with time-invariant learning rate and its exponential stability analysis

Neurocomputing

Volumn 19, Issue 1-3, 1998, Pages 1-11

  Cho, Seongwon ^a   Seok, Jinwuk ^a  

^a Hong Ik University   (South Korea)

Author keywords

Neural networks; Self organizing map; Stochastic differential equation

Indexed keywords

COMPUTER HARDWARE; DIFFERENTIAL EQUATIONS; LEARNING SYSTEMS; MATHEMATICAL MODELS;

SELF ORGANIZING MAP; STOCHASTIC DIFFERENTIAL EQUATIONS;

NEURAL NETWORKS;

ACCURACY; ALGORITHM; ANALYTIC METHOD; ARTICLE; DIGITAL COMPUTER; LEARNING; NERVE CELL NETWORK; PATTERN RECOGNITION; PRIORITY JOURNAL; REINFORCEMENT; STOCHASTIC MODEL;

EID: 0344835884     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(97)00081-7     Document Type: Article

References (4)

1. T. Kohonen, Self-organizing map, Proc. IEEE 78 (9) (1990) 1464-1480.
2. Ritter H., Schulten K. The convergence properties of Kohonen's topology conserving maps. fluctuations, stability, and dimension selection Biol. Cybernet. 60:1988;59-71.
3. Cho Seongwon, Ersoy O.K., Lehto M. Parallel, self-organizing, hierarchical meural networks with competitive learning and safe rejection schemes. IEEE Trans. Circuits Syst. 40(9):1993;556-566.
4. Seongwon Cho, Parallel, self-organizing, hierarchical neural networks with fuzzy input signal representation, competitive learning and safe rejection schemes, Ph.D. Thesis, Purdue University, 1992.