Results 11 to 20 of about 17,157 (222)

ANFIS for analysis friction factor and Nusselt number of pulsating nanofluids flow in the fluted tube under magnetic field

open access: yesCase Studies in Thermal Engineering, 2020
Application of adaptive neuro-fuzzy inference system to analyze friction factor and the Nusselt number of pulsating nanofluids in the helically corrugated tube with magnetic field effect is presented.
P. Naphon   +3 more
doaj   +1 more source

WRNFS: Width Residual Neuro Fuzzy System, a Fast-Learning Algorithm with High Interpretability

open access: yesApplied Sciences, 2022
Although the deep neural network has a strong fitting ability, it is difficult to be applied to safety-critical fields because of its poor interpretability. Based on the adaptive neuro-fuzzy inference system (ANFIS) and the concept of residual network, a
Lingkun Kong, Dewang Chen, Ruijun Cheng
doaj   +1 more source

Modeling of Tehran South Water Treatment Plant Using Neural Network and Fuzzy Logic Considering Effluent and Sludge Parameters [PDF]

open access: yesNumerical Methods in Civil Engineering, 2021
The disposal of sewage with acceptable qualitative characteristics to different acceptor resources is an environmental issue that today's societies face (with).
Nasser Mehrdadi, Mehrdad Ghasemi
doaj   +1 more source

Tüketici Fiyat Endeksinin Uyarlamalı Ağa Dayalı Bulanık Çıkarım Sistemi ile Kestirimi / Consumer Price Index Forecast with Adaptive Neuro Fuzzy Inference System [PDF]

open access: yesİnsan&İnsan Bilim Kültür Sanat ve Düşünce Dergisi, 2016
Son yıllarda zaman serisi tahmini için birçok alternatif yöntem önerilmiştir. Uyarlamalı ağa dayalı bulanık çıkarım sistemi (ANFIS) öngörü problemi için literatürde en çok uygulanan bulanık çıkarım sistemidir.
Serenay VAROL
doaj   +1 more source

ANFIS: Adaptive Neuro-Fuzzy Inference System- A Survey

open access: yesInternational Journal of Computer Applications, 2015
paper, we presented the architecture and basic learning process underlying ANFIS (adaptive-network-based fuzzy inference system) which is a fuzzy inference system implemented in the framework of adaptive networks. Soft computing approaches including artificial neural networks and fuzzy inference have been used widely to model expert behavior.
Anurag Sharma   +2 more
openaire   +1 more source

Development of ANFIS Control System for Seismic Response Reduction using Multi-Objective Genetic Algorithm [PDF]

open access: yes, 2016
Adaptive neuro fuzzy inference system (ANFIS) and Genetic algorithm (GA) was proposed in this study to reduce dynamic responses of a seismically excited building.
F, Q. M. (Qureshi)   +2 more
core   +1 more source

Energy performance forecasting of residential buildings using fuzzy approaches [PDF]

open access: yes, 2020
The energy consumption used for domestic purposes in Europe is, to a considerable extent, due to heating and cooling. This energy is produced mostly by burning fossil fuels, which has a high negative environmental impact.
Múgica Álvarez, Francisco   +1 more
core   +2 more sources

Modelling of a Flexible Manoeuvring System Using ANFIS Techniques [PDF]

open access: yes, 2010
The increased utilization of flexible structure systems, such as flexible manipulators and flexible aircraft in various applications, has been motivated by the requirements of industrial automation in recent years.
Bin Zaidan, Martha Arbayani   +2 more
core   +1 more source

Assessment of the efficiency of educational project management using neuro-fuzzy system [PDF]

open access: yesE3S Web of Conferences, 2019
The project represents the introduction of elements and methods of artificial intelligence in the work programs of disciplines in the direction of “Management”.
Krichevsky Mikhail   +2 more
doaj   +1 more source

Reactive Power Control of Thyristor Controlled Reactor using Neuro - Fuzzy Controller

open access: yesGazi Üniversitesi Fen Bilimleri Dergisi, 2019
In this study, the reactive power of thyristor controlled reactor (TCR) that is fundamental element of flexible ac transmission system devices is controlled using neuro-fuzzy controller.
Ö. Fatih KEÇECİOĞLU, Erdal KILIÇ
doaj   +1 more source

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