This project focuses on predicting crop yields using a high-accuracy model that combines Adaptive Neuro-Fuzzy Inference System (ANFIS) with an innovative optimization technique. By leveraging ANFIS, ...
The Cascaded ANFIS is a novel architecture of the general ANFIS algorithm by Dr Jang (1993). This work is published under the title of "A Novel Optimization Algorithm: Cascaded Adaptive Neuro-Fuzzy ...
Abstract: The output power of a Photovoltaic (PV) system is affected by changing of weather conditions such as temperature and irradiance. However, the PV characteristic curve has a certain point ...
Abstract: Sensorless Control of PMSM has gained a great attention recently. Many algorithms were proposed in this topic among which is the MRAS based speed and position estimators due to their great ...
Prediction of adsorption via Adaptive Neuro-Fuzzy Inference System (ANFIS) can save the cost and time in practical applications. Chromium (VI) adsorption data obtained at different temperature, ...
Coagulation is the most important stage in drinking water treatment processes for the maintenance of acceptable treated water quality and economic plant operation, which involves many complex physical ...
1 Department of Engineering & Technology, Trine University, Detroit, USA. 2 Department of Graduate & Professional Studies, Trine University, Detroit, USA. 3 Department of Business Information System, ...
ABSTRACT: In this study, the road traffic congestion of Dehradun city is evaluated from traffic flow information using fuzzy techniques. Three different approaches namely Sugeno, Mamdani models which ...
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