- Tytuł:
- Comparison of selected classifiers in a sea-bottom recognition task
- Autorzy:
- Komendarczyk, R.
- Powiązania:
- https://bibliotekanauki.pl/articles/331784.pdf
- Data publikacji:
- 1997
- Wydawca:
- Polskie Towarzystwo Akustyczne
- Opis:
- This paper presents a test of three following classifiers: minimum-distance classifier, feed-forward neural network with backpropagation learning scheme and neuro-fuzzy classifier based on NEFCLASS architecture. They have been applied to the sea bottom type classification task over different input spaces. The experiment proved high efficiency of the minimum-distance classifier and the neural network, NEFCLASS performance had been rather poor. Generalization properties of those classifiers are also investigated. Additional conclusions concerning classifiers topology are presented.
- Źródło:
-
Hydroacoustics; 1997, 1; 125-130
1642-1817 - Pojawia się w:
- Hydroacoustics
- Dostawca treści:
- Biblioteka Nauki
Artykuł