ror.org/03haqmz43
Abstracts
Résumé
Ce travail décrit une nouvelle approche de la prédiction de l'évolution spatio-temporelle du phosphore minéral dans les eaux de surface, particulièrement dans la baie lagunaire de Tiagba. L'originalité de cette étude réside dans l'utilisation des réseaux de neurones artificiels, précisément du perceptron multicouche, comme outil de modélisation. Deux approches de l'évolution spatio-temporelle de ce nutriment dans cette baie ont été étudiées : sa modélisation statique et sa modélisation dynamique. Ainsi, il a été utilisé deux bases de 3 966 et 4 627 données respectivement pour sa modélisation statique et sa modélisation dynamique. L'algorithme de Levenberg-Marquardt a été utilisé pour la détermination des poids de connexions lors du développement du perceptron multicouche. Il ressort, des résultats obtenus, que les modèles 5-14-1 et 6-14-2 permettent de prédire à 70,30 % et à environ 70 % respectivement les évolutions statique et dynamique du phosphore minéral dans cette baie lagunaire. Ces modèles, jugés satisfaisant peuvent servir de socle pour d'éventuelles études visant à la réhabilitation et la gestion de cet écosystème aquatique dans le cadre de son développement durable.
Mots-clés :
- Phosphore,
- réseau de neurones artificiels,
- baie lagunaire de Tiagba,
- système Ébrié,
- Côte d'Ivoire
Abstract
This work describes a new approach to prediction of spatio-temporal evolution of mineral phosphorus in water bodies, particularly in Tiagba Lagoon Bay. Originality of this study lie on the use of artificial neural networks, principally multilayer perceptron, as modelling tool. Two approaches of spatio-temporal evolution of this nutrient were done: static evolution and dynamic evolutions. Data bases, formed by 3 966 and 4 627 data, served for static and dynamic modelling of this nutrient respectively. Weights of network connection are determined using Levenberg-Marquardt algorithm during execution of Multilayer Perceptron. Results obtained show that models 5-14-1 and 6-14-2 can predict to 70.30% and approximately 70% respectively for static and dynamic evolution of mineral phosphorus in this bay. These models, judged satisfactory, could be used for other studies led to rehabilitation and protection of this aquatic ecosystem for its long development.
Keywords:
- Phosphorus,
- artificial neural networks,
- multilayer perceptron,
- Tiagba Lagoon Bay,
- Ebrié system,
- Côte d'Ivoire
Appendices
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