Dissolved oxygen (DO) & COD is a parameter frequently used to evaluate the water quality on different rivers. The aim of the present study is to investigate applicability of artificial intelligence techniques such as ANFIS (Adaptive Neuro-Fuzzy Inference System) in water quality DO & COD prediction for the case study, Mahi river at Khanpur in Thasara Taluka of Kheda District in Gujarat State, I...

In this paper the performance of Artificial Neural Networks (ANNs) and Adaptive NeuroFuzzy Inference Systems (ANFIS) in simulating the inverse dynamic behavior of MagnetoRheological (MR) dampers is investigated. MR dampers are one of the most applicable methods in semi active control of seismic response of structures. Various mathematical models are introduced to simulate the dynamic behavior o...

one of the important aspects of soil is, knowing the relationships between spatial features of soil and quantity in statistical model. the goal of this research is to estimate saturated hydraulic conductivity by regression and co-active neuro-fuzzy inference system (anfis) with using the parameters of bulk density, real density, porosity, fractal dimension of particle size, and clay percent, si...

In this study, taking into account the Aksu Stream data, daily total precipitation (P) and mean flow (Q) values were using time lagged, 8 different Rainfall-Runoff models created runoff value estimated for future. The have been tried with methods performances compared process. Artificial Intelligence (AI) methods, Neural Networks (ANN), Adaptive Neuro Fuzzy Inference System (ANFIS) Heuristic Re...

Churn prediction is a useful tool to predict customer at churn risk. By accurate prediction of churners and non-churners, a company can use the limited marketing resource efficiently to target the churner customers in a retention marketing campaign. Accuracy is not the only important aspect in evaluating a churn prediction models. Churn prediction models should be both accurate and comprehensib...