- Tytuł:
- One-Dimensional Kohonens Lvq Nets for Multidimensional Patterns Recognition
- Autorzy:
- Skubalska-Rafajłowicz, E.
- Powiązania:
- https://bibliotekanauki.pl/articles/911149.pdf
- Data publikacji:
- 2000
- Wydawca:
- Uniwersytet Zielonogórski. Oficyna Wydawnicza
- Tematy:
-
krzywa przestrzenna
rozpoznawanie obrazów
space-filling curve
pattern recognition
learning vector quantization
reduction of dimension - Opis:
- A new neural network based pattern recognition algorithm is proposed. The method consists in preprocessing the multidimensional data, using a space-filling curve based transformation into the unit interval, and employing Kohonen's vector quantization algorithms (of SOM and LVQ types) in one dimension. The space-filling based transformation preserves the theoretical Bayes risk. Experiments show that such an approach can produce good or even better error rates than the classical LVQ performed in a multidimensional space.
- Źródło:
-
International Journal of Applied Mathematics and Computer Science; 2000, 10, 4; 767-778
1641-876X
2083-8492 - Pojawia się w:
- International Journal of Applied Mathematics and Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł