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Vehicle Classification Using Adaptive Neuro-Fuzzy Inference System (ANFIS)
2014Accurate vehicle classification and traffic composition data are an important traffic performance measures which are used in many transportation applications. In this paper, an attempt is made to develop a model to classify the vehicles into five categories: light commercial vehicle, car/jeep/van, two-axle truck/bus, three-axle truck, and multi-axle ...
Akhilesh Kumar Maurya +1 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.
Seyit Ahmet Guvenc +2 more
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An Adaptive Neuro-Fuzzy Inference System (ANFIS) approach to control of robotic manipulators
1998In this paper, Adaptive Neuro Fuzzy Inference System (ANFIS) is used for the controlling of a commercial robot manipulator. A Microbot [1] with three degrees of freedom is utilized to evaluate the proposed methodology. A decentralized ANFIS controller is used for each joint, with a Fuzzy Associative Memories (FAM) performing the inverse kinematics ...
Ali Zilouchian +2 more
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Geomechanics and Geoengineering, 2019
This paper describes the effect of stabilizer content, curing time and moisture content on the UCS based upon 150 samples of stabilized soil. The results indicate an optimum value of lime or cement content which corresponds to the maximum UCS.
Mohsen Saadat, M. Bayat
semanticscholar +1 more source
This paper describes the effect of stabilizer content, curing time and moisture content on the UCS based upon 150 samples of stabilized soil. The results indicate an optimum value of lime or cement content which corresponds to the maximum UCS.
Mohsen Saadat, M. Bayat
semanticscholar +1 more source
International Journal of Ambient Energy, 2020
This study compares the performance of standalone adaptive neuro-fuzzy inference system (ANFIS) and its hybrid with particle swarm optimisation (PSO) in predicting the energy consumption from climatic factors for a multi-campus institution in South ...
P. Adedeji +3 more
semanticscholar +1 more source
This study compares the performance of standalone adaptive neuro-fuzzy inference system (ANFIS) and its hybrid with particle swarm optimisation (PSO) in predicting the energy consumption from climatic factors for a multi-campus institution in South ...
P. Adedeji +3 more
semanticscholar +1 more source
, 2020
The main objective of this research was to apply an adaptive neuro-fuzzy inference system (ANFIS) approach aided by Partial Least Squares Structural Equation Modeling (PLS-SEM) to assess safety at work, defined as employee propensity to follow safety ...
Erman Çakıt +5 more
semanticscholar +1 more source
The main objective of this research was to apply an adaptive neuro-fuzzy inference system (ANFIS) approach aided by Partial Least Squares Structural Equation Modeling (PLS-SEM) to assess safety at work, defined as employee propensity to follow safety ...
Erman Çakıt +5 more
semanticscholar +1 more source
Prediction of Diabetes using Adaptive Neuro Fuzzy Inference System (ANFIS)
Asian Journal of Research in Social Sciences and Humanities, 2016In this work a systematic architecture and procedure of Adaptive Neuro Fuzzy Inference System (ANFIS) is presented for data mining classification model to predict the Pima diabetes dataset and compare the model errors with Artificial Neural Network (ANN) model.
B. Thanga Parvathi, S. Mercy Shalinie
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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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Fuzzy membership function design: An adaptive neuro-fuzzy inference system (ANFIS) based approach
2021 International Conference on Computer Communication and Informatics (ICCCI), 2021In recent times, neuro-fuzzy approaches have been widely used for solving real-world complex problems. Adaptive neuro-fuzzy inference system (ANFIS) is one of the prominent models in this field of soft computing. This model combines both the fuzzy and neural approaches to represent non-linear and ill-defined problems more preciously.
Monika Kabir, Mir Md. Jahangir Kabir
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Journal of Computer Science, 2020
Vehicular Ad hoc NETworks (VANET) allow communications between vehicles using their own connection infrastructure. There are several advantages and applications in using this technology and one of most significant is road safety.
B. A. Bensaber +2 more
semanticscholar +1 more source
Vehicular Ad hoc NETworks (VANET) allow communications between vehicles using their own connection infrastructure. There are several advantages and applications in using this technology and one of most significant is road safety.
B. A. Bensaber +2 more
semanticscholar +1 more source