Results 11 to 20 of about 30,817 (217)
IEEE Access, 2020 In complex industrial processes (CIPs), due to technical and economic limitations, key performance indicators (KPIs), especially the chemical content-related KPIs, are often difficult to measure in real time, which hinders the propagation of advanced ...
Jinping Liu +5 more
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Adaptive neuro-fuzzy controller of switched reluctance motor [PDF]
Serbian Journal of Electrical Engineering, 2007 This paper presents an application of adaptive neuro-fuzzy (ANFIS) control for switched reluctance motor (SRM) speed. The ANFIS has the advantages of expert knowledge of the fuzzy inference system and the learning capability of neural networks.
Tahour Ahmed +2 more
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Energy Reports, 2021 This paper presents the modeling, design, and experimental analysis of an Automatic Generation Control (AGC) for a hydropower plant using Adaptive-Neuro-Fuzzy Inference system (ANFIS).
Tilahun Weldcherkos +2 more
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Case 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
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Tüketici Fiyat Endeksinin Uyarlamalı Ağa Dayalı Bulanık Çıkarım Sistemi ile Kestirimi / Consumer Price Index Forecast with Adaptive Neuro Fuzzy Inference System [PDF]
İnsan&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
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WRNFS: Width Residual Neuro Fuzzy System, a Fast-Learning Algorithm with High Interpretability
Applied 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
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Modeling of Tehran South Water Treatment Plant Using Neural Network and Fuzzy Logic Considering Effluent and Sludge Parameters [PDF]
Numerical 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
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ANFIS: Adaptive Neuro-Fuzzy Inference System- A Survey
International 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
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Rice yield prediction using adaptive Neuro-fuzzy inference system (ANFIS) [PDF]
International Journal of Chemical Studies, 2020 In agriculture yield prediction is toughest task around the globe. The agriculture yield depends on various factors such as water, weather, soil characteristics, crop rotation, pest, disease etc., This paper presents a model designed using Adaptive Neuro-Fuzzy Inference System (ANFIS) to predict the yield of rice.
Dr. M Kalpana +3 more
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ANFIS optimized semi-active fuzzy logic controller for magnetorheological dampers
Open Engineering, 2016 In this paper, we report on the development of a neuro-fuzzy controller for magnetorheological dampers using an Adaptive Neuro-Fuzzy Inference System or ANFIS.
César Manuel Braz, Barros Rui Carneiro
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