Results 191 to 200 of about 31,665 (232)

Seizure prediction using adaptive neuro-fuzzy inference system

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013
In this study, we present a neuro-fuzzy approach of seizure prediction from invasive Electroencephalogram (EEG) by applying adaptive neuro-fuzzy inference system (ANFIS). Three nonlinear seizure predictive features were extracted from a patient's data obtained from the European Epilepsy Database, one of the most comprehensive EEG database for epilepsy ...
Ahmed Fazle Rabbi, Leila Azinfar, Reza Fazel-Rezai   +2 more
openaire   +2 more sources

Adaptive Neuro-Fuzzy Inference System For Analysis of Doppler Signals

2006 International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
In this study, a new approach based on adaptive neuro-fuzzy inference system (ANFIS) was presented for detection of ophthalmic artery stenosis. Decision making was performed in two stages: feature extraction using the wavelet transform (WT) and the ANFIS trained with the backpropagation gradient descent method in combination with the least squares ...
openaire   +3 more sources

Adaptive neuro fuzzy inference system for vessel position forecasting

2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC), 2017
In this work, we present a novel approach for short-term vessel movement predictions in real world maritime conditions, based on an Adaptive Neuro Fuzzy Inference System. The proposed system uses real world vessel position recordings, reported by the Automatic Identification System and is capable of highly accurate future vessel position forecasting ...
Elias K. Xidias, Dimitrios Zissis
openaire   +1 more source

Adaptive Neuro-Fuzzy Inference System for Controlling a Steam Valve

2019 IEEE 9th International Conference on System Engineering and Technology (ICSET), 2019
Controlling a steam valve can be considered as a sensitive subject. It can restrict the allowance of steam through a specific controllable valve or gate. Steam valves are utilized in many steam systems such as electrical generation stations, ironing systems and heating systems.
Moatasem Yaseen Al-Ridha, Raid Rafi Omar Al-Nima, Ammar Sameer Anaz   +2 more
openaire   +1 more source

An adaptive neuro-fuzzy inference system for bridge risk assessment

Expert Systems with Applications, 2008
Bridge risks are often evaluated periodically so that the bridges with high risks can be maintained timely. This paper develops an adaptive neuro-fuzzy system (ANFIS) using 506 bridge maintenance projects for bridge risk assessment, which can help Highways Agency to determine the maintenance priority ranking of bridge structures more systematically ...
Ying-Ming Wang 0001, Taha M. S. Elhag
openaire   +1 more source

Analog VLSI implementation of adaptive neuro-fuzzy inference systems

ICECS 2000. 7th IEEE International Conference on Electronics, Circuits and Systems (Cat. No.00EX445), 2002
This paper presents an analog VLSI implementation of adaptive neuro-fuzzy inference systems (ANFIS). Stochastic perturbative techniques, which are more VLSI friendly than standard learning techniques such as back-propagation, are used for on-chip learning. The system is tested by the task of predicting the Mackey-Glass chaotic time series.
Ahmed Sultan, Mohamed El-Sayed
openaire   +1 more source

A hybrid of adaptive neuro-fuzzy inference system and genetic algorithm

Journal of Intelligent & Fuzzy Systems, 2013
Premature convergence is an important problem in evolutionary algorithms, in particular genetic algorithm. The diversity of the population is a very influence paprameter on premature convergence in genetic algorithm. In this paper, we attempt to improve the performance of genetic algorithms by providing a bi-linear allocation lifetime approach to label
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Channel Estimation Based on Adaptive Neuro-Fuzzy Inference System in OFDM

IEICE Transactions on Communications, 2008
In this letter we purpose adaptive neuro-fuzzy inference system (ANFIS) for channel estimation in orthogonal frequency division multiplexing (OFDM) systems. To evaluate the performance of this estimator, we compare the ANFIS with least square (LS) algorithm, minimum mean square error (MMSE) algorithm by using bit error rate (BER) and mean square error (
Muhammet Nuri Seyman, Necmi Taspinar
openaire   +3 more sources

Hysteresis Modeling with Adaptive Neuro-Fuzzy Inference System

Ferroelectrics, 2008
The accurate characterization and modeling of magnetic material are critical in simulating the performance analysis of electrical circuits incorporating magnetic components. In this study, a new approach for modeling hysteresis loop of ferromagnetic material based on adaptive neuro-fuzzy inference system (ANFIS) was presented.
M. Mordjaoui, M. Chabane, B. Boudjema, R. Daira   +3 more
openaire   +1 more source

Adaptive neuro-fuzzy inference system for modelling and control

Proceedings First International IEEE Symposium Intelligent Systems, 2003
A new approach for an adaptive neuro-fuzzy inference system for modeling and control is proposed. This approach uses a general regression neural network with a different learning capability from the classical clustering algorithm normally used by this specific network.
T.G.B. Amaral, M.M. Crisostomo, V.F. Pires   +2 more
openaire   +1 more source