In the present study, the adaptive neuro-fuzzy inference system (ANFIS) is developed for the prediction of effective thermal conductivity (ETC) of different fillers filled in polymer matrixes. The ANFIS uses a hybrid learning algorithm. The ANFIS is a class of adaptive networks that is functionally equivalent to fuzzy inference systems (FIS). The ANFIS is based on neuro-fuzzy model, trained wit...

Prediction of student’s performance is potentially important for educational institutions to assist the students in improving their academic performance, and deliver high quality education. Developing an accurate student’s performance prediction model is challenging task. This paper employs the Adaptive NeuroFuzzy Inference system (ANFIS) for student academic performance prediction to help stud...

ANFIS-type algorithms have been used in various modeling and simulation problems. With the help of with more accuracy adaptability, it is possible to obtain better real-life emulating models. A critical environmental problem discharge saline industrial effluents form buoyant jets into water bodies. Given potentially harmful effects from desalination plants on marine environment coastal ecosyste...

Hydrogen is a new promising energy source. Three operating parameters, including inlet gas flow rate, pH and impeller speed, mainly determine the biohydrogen production from membrane bioreactor. The work aims to boost by determining optimal values of control parameters. proposed methodology contains two parts: modeling parameter estimation. A robust ANIFS model simulate bioreactor has been cons...

monitoring and forecasting of air quality parameters in urban areas is considered as one of the challenges of the human environment. it depends on several factors such as topography, climate, population and transport network which the interaction of these spatial factors has been as a dynamic phenomenon, non-linear and ambiguous. in this study, two models suggested to predict and modeling conce...

Most of the earlier studies in the inventory control and management make assumption that the manufacturing system is reliable and does not fail. However, in the real industrial applications, there is no completely reliable manufacturing system; Machine failure occur and the production does not resume before repair. In this paper we will study and analyze the optimal lot size in a real productio...

Abstract Accurate modeling and prediction of suspended sediment load (SSL) in rivers have an important role environmental science design engineering structures are vital for watershed management. Since different parameters such as rainfall, temperature, discharge with the lag times significant effects on SSL, quantifying understanding nonlinear interactions dynamics has always been a challenge....

In this study, a new approach based on adaptive neuro-fuzzy inference system (ANFIS) was presented for detection of internal carotid artery stenosis and occlusion. The internal carotid arterial Doppler signals were recorded from 130 subjects that 45 of them suffered from internal carotid artery stenosis, 44 of them suffered from internal carotid artery occlusion and the rest of them were health...

In this paper a pose invariant face recognition using neuro-fuzzy approach is proposed. Here adaptive neuro fuzzy interface system (ANFIS) classifier is used as neuro-fuzzy approach for pose invariant face recognition. In the proposed approach the preprocessing of image is done by using adaptive median filter. It removes the salt pepper noise from the original images. From these denoised images...