Results 81 to 90 of about 63,417 (204)
Prediction of queuing length at metering roundabout using adaptive neuro fuzzy inference system
Measurement + Control, 2019 A metering roundabout where traffic is controlled by signals where phase times are influenced by queue detector occupancy may be the solution to reduce queue lengths under unbalanced traffic flows.
Hong Ki An, Ahmed N Abdalla
doaj +1 more source
Aplikasi Metode Neuro-Fuzzy Pada Sistem Pengendalian Antisurge Kompresor [PDF]
, 2006 Operating condition that unstabil to compressor is called surge, which defined as self oscillations between pressure and flow, that can cause serious damage to compressor. Because of this problem, it is necessary to design of antisurge compressor control.
Abadi, I. (Imam) +2 more
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TASK Quarterly, 2003 In this paper we present the Beta function and its main properties. A key feature of the Beta function, which is given by the central limit theorem, is also shown.
ADEL M. ALIMI
doaj
Study of Discrete Choice Models and Adaptive Neuro-Fuzzy Inference System in the Prediction of Economic Crisis Periods in USA [PDF]
In this study two approaches are applied for the prediction of the economic recession or expansion periods in USA. The first approach includes Logit and Probit models and the second is an Adaptive Neuro-Fuzzy Inference System (ANFIS) with Gaussian and ...
Eleftherios Giovanis
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EnergiesThe work is devoted to the helicopter turboshaft engines’ gas generator rotor R.P.M. neuro-fuzzy controller development, which improves control accuracy and increases the system’s stability to external disturbances and adaptability to changing operating ...
Serhii Vladov +6 more
doaj +1 more source
Journal of Alzheimer's Disease Reports, 2019 This study examined early detection of Alzheimer’s disease (AD) by diffusion tensor visualization-based methodology and neuro-fuzzy tools. Initially, we proposed a model for the early detection of AD using the measurement of apparent diffusion ...
Subrata Kar, D. Dutta Majumder
doaj +1 more source
Дослідження якості адаптивних нейро-фаззі регуляторів автомобіля на базі методу субтрактивної кластерізації [PDF]
, 2013 У статті розглянута задача дослідження якості адаптивних нейро-фаззі регуляторів автомобіля на базі методу субтрактивної кластерізації. Побудовано чотири гібридних регулятора.
Ніконов, О. Я. +1 more
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IET Image ProcessingAn adaptive neuro‐fuzzy inference system is presented which is optimized by a genetic algorithm to classify normal and abnormal brain tumours. The classifier is fast and simple, named genetic algorithm‐adaptive neuro‐fuzzy inference system, and the ...
Marzieh Ghahramani, Nabiollah Shiri
doaj +1 more source
Desired accuracy estimation of noise function from ECG signal by fuzzy approach
Journal of Medical Signals and Sensors, 2012 Unknown noise and artifacts present in medical signals with non-linear fuzzy filter will be estimated and then removed. An adaptive neuro-fuzzy interference system which has a non-linear structure presented for the noise function prediction by before ...
Zahra Vahabi, Saeed Kermani
doaj
Multivariate Inputs on a MIMO Neuro-Fuzzy structure with LMA training. A study case: Indonesian Banking Stock Market [PDF]
The paper describes the design and implementation of the multivariate inputs of multi-input-multi-output neuro-fuzzy with Levenberg-Marquardt algorithm training (MIMO neuro-fuzzy with accelerated LMA) to forecast stock market of Indonesian Banking.
Lim, Resmana +2 more
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