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Seizure prediction using adaptive neuro-fuzzy inference system
2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013In 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 +2 more
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Adaptive neuro fuzzy inference system for vessel position forecasting
2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC), 2017In 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
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Adaptive Neuro-Fuzzy Inference System for Controlling a Steam Valve
2019 IEEE 9th International Conference on System Engineering and Technology (ICSET), 2019Controlling 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 +2 more
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An adaptive neuro-fuzzy inference system for bridge risk assessment
Expert Systems with Applications, 2008Bridge 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
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Analog VLSI implementation of adaptive neuro-fuzzy inference systems
ICECS 2000. 7th IEEE International Conference on Electronics, Circuits and Systems (Cat. No.00EX445), 2002This 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
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Design Pattern Recognition by Using Adaptive Neuro Fuzzy Inference System
2013 IEEE 25th International Conference on Tools with Artificial Intelligence, 2013Software design patterns describe recurring design problems and provide the essence of best practice solutions. It is useful and important, for various software engineering tasks, to know which design pattern is implemented where in a software design.
Sultan Alhusain +3 more
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A hybrid of adaptive neuro-fuzzy inference system and genetic algorithm
Journal of Intelligent & Fuzzy Systems, 2013Premature 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, 2008In 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
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GSM Churn Management Using an Adaptive Neuro-Fuzzy Inference System
The 2007 International Conference on Intelligent Pervasive Computing (IPC 2007), 2007The movement of subscribers from one operator to another operator is named as churn management for looking for better and cheaper products and services. As markets become saturated and competition intensifies, customers have more choices to take promotions from alternative telecom operators in Turkish GSM (Global Services of Mobile Communications ...
Adem Karahoca +2 more
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APPLICATION OF ADAPTIVE NEURO FUZZY INFERENCE SYSTEM IN THE PROCESS OF TRANSPORTATION SUPPORT
Asia-Pacific Journal of Operational Research, 2013The possibility for more confidential predictions, leaning on scientific methods and accomplishments of information technology leaves more time for the realization of logistic needs. Longstanding ambitions to acquire desired levels of efficiency within the system with minimal costs of resources, materials, energy and money are the features of ...
Dragan Pamucar +2 more
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