Results 191 to 200 of about 31,148 (230)

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 ...
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Glaucoma detection using adaptive neuro-fuzzy inference system

Expert Systems with Applications, 2007
Abstract Purpose. To develop an automated classifier based on adaptive neuro-fuzzy inference system (ANFIS) to differentiate between normal and glaucomatous eyes from the quantitative assessment of summary data reports of the Stratus optical coherence tomography (OCT) in Taiwan Chinese population. Methods.
Mei-Ling Huang, Hsin-Yi Chen, Jian-Jun Huang   +2 more
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Adaptive neuro-fuzzy inference system based robotic navigation

2013 IEEE International Conference on Computational Intelligence and Computing Research, 2013
The oldest challenge in mobile robotics is the ability of robot to navigate autonomously in a dynamic environment. This paper, discusses about navigation of mobile robot using Adaptive Network-Based Fuzzy Inference System (ANFIS) which is basically fuzzy inference system implemented in framework of adaptive networks.
Shantanu U. Deshpande, Supal S. Bhosale
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Text Summarization Using Adaptive Neuro-Fuzzy Inference System

2019
Nowadays, data present on the World Wide Web is growing exponentially. People use search engines like Google, Bing, and Yahoo for retrieving the required information. But as the information present on the Web is huge, it is necessary for user to make the summary of this information.
Pratiksha D. Warule, S. D. Sawarkar, Archana Gulati   +2 more
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Retina recognition system using adaptive neuro fuzzy inference system

2015 International Conference on Computer, Communication and Control (IC4), 2015
Biometrie based technologies including retina, face, fingerprint, speech, hand geometry, handwriting, iris and typing rhythm are used to deal high security problems because, they have reached a high degree of maturity such as applications on secure authentication. Artificial Neural Networks (ANN) are non-parametric prediction tools based on the analogy
Tripti Rani Borah, Kandarpa Kumar Sarma, Pran Hari Talukdar   +2 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), 2007
The 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 ...
Karahoca, Adem, Karahoca, Dilek, Aydm, Nizamettin   +2 more
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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
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Bayesian inference using an adaptive neuro-fuzzy inference system

Fuzzy Sets and Systems, 2023
Mohammed Knaiber, Leen Alawieh
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Breast Tumors Classification Using Adaptive Neuro-Fuzzy Inference System

Journal of Clinical Engineering, 2017
Breast cancer is one of the world's leading causes of cancer-related deaths and ranks second in the cancer fact sheets. In Sudan, the increasing incidence, detection at late stages, and early onset of the disease make early detection and diagnosis of breast cancer an overbearing task.
Sahar Haj Ali A. Mohammed, Zeinab Adam Mustafa   +1 more
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Extraction of Fetal Electrocardiogram Using Adaptive Neuro-Fuzzy Inference Systems

IEEE Transactions on Biomedical Engineering, 2007
In 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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