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Reference evapotranspiration estimation using adaptive neuro‐fuzzy inference systems
Irrigation and Drainage, 2008AbstractEvapotranspiration, an important component in terrestrial water balance and net primary productivity models, is difficult to measure and estimate. In this study, the potential of the adaptive neuro‐fuzzy inference system (ANFIS) is investigated in modelling of daily grass crop reference evapotranspiration (ETo) obtained using the Penman ...
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RISK ASSESSMENT USING ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM
ИНФОРМАЦИЯ И БЕЗОПАСНОСТЬ, 2022В работе предлагается использование адаптивной нейро-нечеткой системы вывода для оценки риска. Проводится подробный обзор адаптивной нейро-нечеткой системы вывода, выделяя основные свойства этой системы в области методов оценки рисков. Приведены основные преимущества использования адаптивной нейро-нечеткой системы вывода.
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Fall Detection Using Adaptive Neuro-Fuzzy Inference System
International Journal of Multimedia and Ubiquitous Engineering, 2016A factor seriously endangers the people health is falling, particularly for patients and the elderly. Fall detection systems contribute in preventing the consequences of the late medical aid and injuries endangering the people health. The main problem within fall detection systems is how to correctly distinguish between a fall and the other daily ...
Fardin Abdali-Mohammadi +2 more
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Vehicle Classification Using Adaptive Neuro-Fuzzy Inference System (ANFIS)
2014Accurate 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 +1 more
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Adaptive Neuro-Fuzzy Inference System For Analysis of Doppler Signals
2006 International Conference of the IEEE Engineering in Medicine and Biology Society, 2006In 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, 2007Abstract 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 +2 more
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Adaptive neuro-fuzzy inference system based robotic navigation
2013 IEEE International Conference on Computational Intelligence and Computing Research, 2013The 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
2019Nowadays, 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 +2 more
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Retina recognition system using adaptive neuro fuzzy inference system
2015 International Conference on Computer, Communication and Control (IC4), 2015Biometrie 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 +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), 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 ...
Karahoca, Adem +2 more
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