- Tytuł:
- The training of multiplicative neuron model based artificial neural networks with differential evolution algorithm for forecasting
- Autorzy:
- Bas, E.
- Powiązania:
- https://bibliotekanauki.pl/articles/91575.pdf
- Data publikacji:
- 2016
- Wydawca:
- Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
- Tematy:
-
artificial neural networks
multiplicative neuron model
differential evolution
algorithm
forecasting
sztuczne sieci neuronowe
algorytm
prognozowanie - Opis:
- In recent years, artificial neural networks have been commonly used for time series forecasting by researchers from various fields. There are some types of artificial neural networks and feed forward artificial neural networks model is one of them. Although feed forward artificial neural networks gives successful forecasting results they have a basic problem. This problem is architecture selection problem. In order to eliminate this problem, Yadav et al. (2007) proposed multiplicative neuron model artificial neural network. In this study, differential evolution algorithm is proposed for the training of multiplicative neuron model for forecasting. The proposed method is applied to two well-known different real world time series data.
- Źródło:
-
Journal of Artificial Intelligence and Soft Computing Research; 2016, 6, 1; 5-11
2083-2567
2449-6499 - Pojawia się w:
- Journal of Artificial Intelligence and Soft Computing Research
- Dostawca treści:
- Biblioteka Nauki
Artykuł