Please use this identifier to cite or link to this item: http://dspace.univ-tiaret.dz:80/handle/123456789/9745
Title: Evolution De L’indice Des Prix à La Consommation (ipc) En Algérie
Authors: Bourioune, Tahar
Keywords: Taux d'inflation
Sarima
NNARMAX
FFNN
Issue Date: 15-ينا-2022
Publisher: FACULTE DES SCIENCES ECONOMIQUES , SCIENCES COMMERCIALES ET SCIENCES DE GESTION
Citation: https://www.asjp.cerist.dz/en/downArticle/617/5/3/197982
Series/Report no.: مجلة الدراسات التجارية والاقتصادية المعاصرة المجلد 5 العدد 3;
Abstract: L’objet porte sur les taux d’inflation prévus en Algérie durant la période 2021:01–2022:06 par différents modèles : statistiques et neuronaux. Le but de l’article est de comparer le modèle de prévision statistique SARIMA aux modèles RNA. Les résultats révèlent que les modèles RNA sont plus compétitifs et paradoxalement, parmi ces derniers, les modèles statiques statistiques sont plus performants. Abstract The subject deals with the inflation rate forecast in Algeria during the period 2021:01 – 2022:06 by different models: statistical and neural. The purpose of this article is to compare the statistical forecast model SARIMA to the neuronal ones.The results reveal that the models ANN are more competitive and paradoxaly among these, the static statistical models are more efficient.
Description: Abstract: The subject deals with the inflation rate forecast in Algeria during the period 2021:01- 2022:06 by different models: statistical and neuronal. The purpose of this article is to Compare the statistical forecast model SARIMA (p, d, q) to the neuronal ones. The results Reveal that the models ANN are more competitive and paradoxaly among these, the static statistical models are more efficient. Keywords: Inflation Rate, SARIMA, FFNN, NNARMAX
URI: http://dspace.univ-tiaret.dz:80/handle/123456789/9745
ISSN: 2716-8972
Appears in Collections:volume 05

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