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dc.contributor.authorBourioune, Tahar-
dc.date.accessioned2023-03-12T07:41:02Z-
dc.date.available2023-03-12T07:41:02Z-
dc.date.issued2022-01-15-
dc.identifier.citationhttps://www.asjp.cerist.dz/en/downArticle/617/5/3/197982en_US
dc.identifier.issn2716-8972-
dc.identifier.urihttp://dspace.univ-tiaret.dz:80/handle/123456789/9745-
dc.descriptionAbstract: 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, NNARMAXen_US
dc.description.abstractL’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.en_US
dc.language.isofren_US
dc.publisherFACULTE DES SCIENCES ECONOMIQUES , SCIENCES COMMERCIALES ET SCIENCES DE GESTIONen_US
dc.relation.ispartofseriesمجلة الدراسات التجارية والاقتصادية المعاصرة المجلد 5 العدد 3;-
dc.subjectTaux d'inflationen_US
dc.subjectSarimaen_US
dc.subjectNNARMAXen_US
dc.subjectFFNNen_US
dc.titleEvolution De L’indice Des Prix à La Consommation (ipc) En Algérieen_US
dc.typeArticleen_US
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