The training of multiplicative neuron model based artificial neural networks with differential evolution algorithm for forecasting

• Autorzy: Bas E.

Identyfikatory

DOI

10.1515/jaiscr-2016-0001

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

artificial neural networks; multiplicative neuron model; differential evolution; algorithm; forecasting

PL

sztuczne sieci neuronowe; algorytm; prognozowanie

• Wydawca: University of Social Sciences
• Czasopismo: Journal of Artificial Intelligence and Soft Computing Research
• Rocznik: 2016
• Tom: Vol. 6, No. 1
• Strony: 5--11
• Opis fizyczny: Bibliogr. 21 poz., rys.

Twórcy

autor

Bas E.

• Department of Statistics, Giresun University, Giresun, 28100, Giresun, Turkey

Bibliografia

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Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.