An adaptive neuro-fuzzy inference system (ANFIS) model for wire-EDM
Expert Systems with Applications, 2009A wire electrical discharge machined (WEDM) surface is characterized by its roughness and metallographic properties. Surface roughness and white layer thickness (WLT) are the main indicators of quality of a component for WEDM. In this paper an adaptive neuro-fuzzy inference system (ANFIS) model has been developed for the prediction of the white layer ...
Ulaş Çaydaş +2 more
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Detection of forearm movements using wavelets and Adaptive Neuro-Fuzzy Inference System (ANFIS)
2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA) Proceedings, 2014In this paper, a technique to classify seven different forearm movements using surface electromyography (sEMG) data which were received from 8 able bodied subjects was proposed. A 2-channel sEMG system was used for data acquisition and recording, then this raw electromyography (EMG) signals were applied to the wavelet denoising.
Demir, Mengu +2 more
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Estimation of Housing Demand with Adaptive Neuro-Fuzzy Inference Systems (ANFIS)
2017It has always been important to anticipate the demand for a product. To determine the demand for any product, the parameters such as the economic situation and the demands of the rival products are used generally. Especially in the housing sector, which is the locomotive sector for emerging countries, it is critical to anticipate housing demand and its
Olgun Aydin, Elvan Aktürk Hayat
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Optimization of Photosynthetic Rate Parameters using Adaptive Neuro-Fuzzy Inference System (ANFIS)
2017 International Conference on Computer and Applications (ICCA), 2017Crop growth is greatly affected by light intensity, temperature and CO 2 concentration. The combinations of these factors are considered in growing crops. In this study, a system was developed using adaptive neuro-fuzzy inference system for the prediction of the photosynthetic rate of lettuce crop based on the temperature, light intensity and CO 2 . A
Ira C. Valenzuela +3 more
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Application of Adaptive Neuro Fuzzy Inference System (ANFIS) to Active Noise Control
IFAC Proceedings Volumes, 2001Abstract In tilis paper, a new methodology for active noise control is proposed and experimentally demonstrated. The method is based on Adaptive Neuro Fuzzy Inferen e Systems (ANFIS), which is introduced to overcome nonJinearity inherent in active noise control. Filtered-X ANFIS algoritlun for leaning is derived.
Riyanto Bambang, Simeon Wicaksana
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Adaptive neuro fuzzy inference system (anfis) applications in chemical processes
2020152
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Adaptive Neuro-fuzzy Inference System (ANFIS) Modelling in Energy System and Water Resources
2019Adaptive neuro-fuzzy inference system (ANFIS) has gained prominence in solving engineering problems over the past two decades. It has incredible ability to generalize for complex non-linear systems efficiently when used alone and more when trained with a hybrid technique. However, less is known about its strengths and peculiarities for effective use in
P. A. Adedeji +3 more
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Flood Forecasting using Adaptive Neuro-Fuzzy Inference System (ANFIS)
International Journal of Engineering Trends and Technology, 2014Dushyant Patel, Dr. Falguni Parekh
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International Roughness Index Modeling utilizing Adaptive Neuro-Fuzzy Inference System (ANFIS)
2023 Advances in Science and Engineering Technology International Conferences (ASET), 2023Ala Sati, Khaled Hamad, Saleh Abu Dabous
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