- Tytuł:
- Collectively intelligent prediction in evolutionary multi-agent system
- Autorzy:
-
Kijak, J.
Martyna, P.
Byrski, A.
Faber, Ł.
Piętak, K.
Kisiel-Dorohinicki, M. - Powiązania:
- https://bibliotekanauki.pl/articles/397728.pdf
- Data publikacji:
- 2017
- Wydawca:
- Politechnika Łódzka. Wydział Mikroelektroniki i Informatyki
- Tematy:
-
evolutionary neural networks
agent-based computing
time series prediction
collective intelligence
metaheuristic optimization
ewolucyjne sieci neuronowe
obliczenia agentowe
predykcja szeregów czasowych
inteligencja zbiorowa
optymalizacja metaheurystyczna - Opis:
- In the paper a summary of our previously realized and published work connected with constructing collective intelligent evolutionary multi-agent systems for time series prediction, based on multi-layered perceptrons is shown. Besides recalling our past papers, we describe the whole concept, present an implementation in a contemporary, componentoriented software framework AgE 3.0 and we conduct a number of experiments, finding different optimal parametrization for the considered instances of the problems (popular Mackey-Glass chaotic time series). The paper may be useful for a practitioner willing to use our meatheuristic algorithm (EMAS) along with the idea of collective agent-based system in order to realize prediction tasks.
- Źródło:
-
International Journal of Microelectronics and Computer Science; 2017, 8, 3; 85-96
2080-8755
2353-9607 - Pojawia się w:
- International Journal of Microelectronics and Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł