Etude de la variation saisonnière des paramètres physico-chimiques des sédiments superficiels de la retenue du barrage Sidi Chahed (Meknès, Maroc) : approche par carte auto-organisatrice SOM [dataset]

IJIRAE Journals, Naoual MONYR, Abdelaziz ABDALLAOUI, Abdellah EL HMAIDI, Mohamed BERRADA
2016 Figshare  
The present work appeals to a classification approach based on a network of artificial neurons of type Self-Organizing map SOM. This algorithm has been used to better discriminate individuals (measuring points) by highlighting nonlinear relationships unobtainable with classic methods of ordination. Thus, from an unsupervised learning of an artificial neural network, this algorithm searches iteratively for similarities among the observed data and represents them on a map output (Kohonen map). In
more » ... t (Kohonen map). In this study, 88 surface sediment samples were collected at 22 stations, during the four seasons of the agricultural year 2010-2011, at the retaining of Sidi Chahed Dam (region Fez-Meknes). Each sample is represented by 14 physicochemical parameters. The SOM map input layer consists of normalized values of the 88 samples. The output is represented by a two-dimensional map.The results obtained overall present slight spatial and temporal deviation of physicochemical parameters that would be related to the nature of the geological formations, anthropogenic activity and particularly a strong adjacent agricultural activity
doi:10.6084/m9.figshare.3470237.v1 fatcat:62phes7lhff4hknhdmsubqlnn4