Results 161 to 170 of about 30,817 (217)

Control of Trms using Adaptive Neuro Fuzzy Inference System (ANFIS)

2020 International Conference on System, Computation, Automation and Networking (ICSCAN), 2020
This paper gives approach about the designing of ANFIS controller to control a TRMS to track the desired trajectory and make the system stable. The stages of development of a two input ANFIS model were presented. It shows the designing of controller is easy and it reduces the time and memory.
K. Kalyani, S. Kanagalakshmi
openaire   +1 more source

Improved Performance of a PV Solar Panel with Adaptive Neuro Fuzzy Inference System ANFIS based MPPT

IEEE International Conference on Renewable Energy Research and Applications, 2018
This article presents the development of an intelligent technique of Adaptive-Neuro-Fuzzy Inference System (ANFIS) based on Maximum Power Point Tracking (ANFIS-MPPT) algorithm with PI controller in order to increase the performances of the photovoltaic ...
Karima Amara, A. Fekik, D. Hocine, Mohamed Bakir, E. Bourennane, Toufik Ali Malek, A. Malek   +6 more
semanticscholar   +1 more source

Landslide susceptibility mapping by using an adaptive neuro-fuzzy inference system (ANFIS)

2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
This paper applied an adaptive neuro-fuzzy inference system (ANFIS) based on a geographic information system (GIS) environment using landslide-related factors and location for landslide susceptibility mapping. Landslide-related factors such as slope, soil texture, wood type, lithology and density of lineament were extracted from topographic, soil ...
Jaewon Choi, Yoon-Kyung Lee, Moung-Jin Lee, Kidong Kim, Youngjin Park, Seongsam Kim, Shinhoi Goo, Myeongheum Cho, Jaehyeon Sim, Joong-Sun Won   +9 more
openaire   +1 more source

Vehicle Classification Using Adaptive Neuro-Fuzzy Inference System (ANFIS)

2014
Accurate 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, Devesh Kumar Patel   +1 more
openaire   +1 more source

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, 2014
In 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, Mengu Demir, Mustafa Ulutas   +2 more
openaire   +2 more sources

An Adaptive Neuro-Fuzzy Inference System (ANFIS) approach to control of robotic manipulators

1998
In 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, David W. Howard, Timothy Jordanides   +2 more
openaire   +1 more source

Prediction of the unconfined compressive strength of stabilised soil by Adaptive Neuro Fuzzy Inference System (ANFIS) and Non-Linear Regression (NLR)

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

Hybrid adaptive neuro-fuzzy inference system (ANFIS) for a multi-campus university energy consumption forecast

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, S. Akinlabi, N. Madushele, O. Olatunji   +3 more
semanticscholar   +1 more source

Modeling of heat transfer and fluid flow characteristics of helicoidal double-pipe heat exchangers using Adaptive Neuro-Fuzzy Inference System (ANFIS)

International Communications in Heat and Mass Transfer, 2011
M. Mehrabi, S. M. Pesteei
exaly   +2 more sources

Prediction of Diabetes using Adaptive Neuro Fuzzy Inference System (ANFIS)

Asian Journal of Research in Social Sciences and Humanities, 2016
In 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
openaire   +1 more source