abstract from longley, the various equations for determining the runoff to water management are presented by the researchers that are widely used in hydrologic sciences. in this study by using observational data, was evaluated empirical, artificial neural network (ann) and ca-active neuro-fuzzy inference system (canfis) models in estimation of runoff. for this purpose, by using climatic and phy...

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...

This paper projected fuzzy logic control based intention has been protruded for a methanol water arrangement of bubble cap distillation column. In this distillation column is extremely nonlinear and conventional control is controlling the composition is a difficult task. Fuzzy inference system (FIS) and fuzzy rule based system (FRBS) is designed to govern the manipulate variable (reflux ratio) ...

The data-driven approach is popular to automate learning of fuzzy rules and tuning membership function parameters in inference systems (FIS) development. However, researchers highlight different challenges issues this FIS development because its complexity. This paper evaluates the current state art complexity Computer Science, Software Engineering Information Systems, specifically: 1) What exi...

− In this paper a development of an adaptive Kalman filter through a fuzzy inference system (FIS) is outlined. The adaptation is concerned with the imposition of conditions under which the filter measurement noise covariance matrix R or the process noise covariance matrix Q are estimated. The adaptive adjustment is carried out using a FIS based on the whiteness of the filter innovation sequence...

In this paper, a Fuzzy Inference System (FIS) is fabricated on a riderless bicycle. The Fuzzy Inference System is based on a rule base inherited from human experience of bicycle riding. The steady turning motion and roll-angle tracking controls for the riderless bicycle were achieved by using fuzzy concept. Collection of sensors, actuator, micro-controller and electrical circuits were employed ...

Edge detection is still difficult task in the image processing field. In this paper we implemented fuzzy techniques for detecting edges in the image. This algorithm also works for medical images. In this paper we also explained about Fuzzy inference system, which is more robust to contrast and lighting variations. KeywordsFuzzy, FIS.

In this paper, an adaptive path construction approach for Mobile Sink (MS) in wireless sensor networks (WSNs) data gathering has been proposed. The is constructed based on selecting Rendezvous Points (RPs) the sensing field where MS stops order to collect data. Compared with most existing RP-based schemes, which rely fixed RPs construct these points will stay during whole network lifetime, we p...