- Tytuł:
- Decomposition and the principle of interaction prediction in hierarchical structure of learning algorithm of ANN
- Autorzy:
- Płaczek, S.
- Powiązania:
- https://bibliotekanauki.pl/articles/376418.pdf
- Data publikacji:
- 2015
- Wydawca:
- Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
- Tematy:
-
artificial neural network
hierarchy
decomposition
coordination
coordination principle - Opis:
- For the most popular ANN structure with one hidden layer, decomposition is done into two sub-networks. These sub-networks form the first level of the hierarchical structure. On the second level, the coordinator is working with its own target function. In the hierarchical systems theory three coordination strategies are defined. For the ANN learning algorithm the most appropriate is the coordination by the principle of interaction prediction. Implementing an off-line algorithm in all sub-networks makes the process of weight coefficient modification more stable. In the article, the quality and quantity characteristics of a coordination algorithm and the result of the learning algorithm for all sub-networks are shown. Consequently, the primary ANN achieves the global minimum during the learning process.
- Źródło:
-
Poznan University of Technology Academic Journals. Electrical Engineering; 2015, 84; 113-120
1897-0737 - Pojawia się w:
- Poznan University of Technology Academic Journals. Electrical Engineering
- Dostawca treści:
- Biblioteka Nauki
Artykuł