The aim of this study is to investigate the efficiency of anfis (adaptive neuro fuzzy inference
system) for interpolating hydraulic head in a 40-km2 agricultural watershed of the Seine …

Neural networks are well known for their ability to model non linear functions, but as
statistical methods usually does, they use a no parametric approach thus, a priori knowledge …

Face à l'augmentation du nombre de catastrophes et de crises de type naturel, industriel ou
intentionnel, les organisations gestionnaires doivent renforcer leurs pratiques afin …

In this study, hydraulic head and 111 Cd interpolations based on the geo-adaptive neuro-
fuzzy inference system (Geo-ANFIS) and empirical Bayesian kriging (EBK) were performed …

After a presentation of the karstic systems modelling with neural networks, the paper is
devoted to the identification of the rainfall-runoff relation of the Baget karstic system (Ariège …

In this study, two methods are evaluated for assessing hydraulic head distribution in an
aquifer unit. These methods consist in Ordinary Kriging (OK) and Adaptive Neuro Fuzzy …

Ce mémoire d'Habilitation à Diriger les Recherches présente de manière synthétique les
recherches effectuées sur la modélisation par apprentissage statistique de systèmes …

In this thesis, in-situ measurement and thermal infrared imagery was used to map hot and
cold springs of Mediterranean Region in Turkey. In-situ surface, depth water temperature …

In this study, Adaptive Neuro Fuzzy based Inference System (ANFIS) and Empirical
Bayesian Kriging (EBK) are evaluated for assessing hydraulic head distribution in a karst …

JULY 2017 MUĞLA THE REPUBLIC OF TURKEY MUGLA SITKI KOCMAN UNIVERSITY
GRADUATE SCHOOL OF NATURAL AND APPLIED SCIENCES DEPARTMENT Page 1 JULY …