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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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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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Realization of an Improved Adaptive Neuro-Fuzzy Inference System in DSP
2007Scaled conjugate gradient (SCG) algorithm was used to improve adaptive neuro-fuzzy inference system (ANFIS). It's proved by applications in chaotic time-series prediction that the improved ANFIS converges with less time and fewer iterations than standard ANFIS or ANFIS improved with the Fletcher-Reeves update method.
Xingxing Wu +3 more
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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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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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Adaptive neuro-fuzzy inference system for modelling and control
Proceedings First International IEEE Symposium Intelligent Systems, 2003A 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 +2 more
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Hysteresis Modeling with Adaptive Neuro-Fuzzy Inference System
Ferroelectrics, 2008The 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 +3 more
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Bayesian inference using an adaptive neuro-fuzzy inference system
Fuzzy Sets and Systems, 2023Mohammed Knaiber, Leen Alawieh
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Extraction of Fetal Electrocardiogram Using Adaptive Neuro-Fuzzy Inference Systems
IEEE Transactions on Biomedical Engineering, 2007In this paper, we investigate the use of adaptive neuro-fuzzy inference systems (ANFIS) for fetal electrocardiogram (FECG) extraction from two ECG signals recorded at the thoracic and abdominal areas of the mother's skin. The thoracic ECG is assumed to be almost completely maternal (MECG) while the abdominal ECG is considered to be composite as it ...
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