Electricity Consumption Forecasting Using Adaptive Neuro-Fuzzy Inference System (ANFIS) [PDF]
Universal Journal of Electrical and Electronic Engineering, 2019 Universiti Tun Hussein Onn Malaysia (UTHM) is a developing Malaysian Technical University. There is a great development of UTHM since its formation in 1993. Therefore, it is crucial to have accurate future electricity consumption forecasting for its future energy management and saving.
Tay, K. G. +3 more
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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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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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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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Fault diagnosis of induction motor based on decision trees and adaptive neuro-fuzzy inference [PDF]
, 2009 This paper presents a fault diagnosis method based on adaptive neuro-fuzzy inference system (ANFIS) in combination with decision trees. Classification and regression tree (CART) which is one of the decision tree methods is used as a feature selection ...
Yang, Bo-Suk +5 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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Assessment of the efficiency of educational project management using neuro-fuzzy system [PDF]
E3S 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
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Reactive Power Control of Thyristor Controlled Reactor using Neuro - Fuzzy Controller
Gazi 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
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Trajectory Tracking Control of a Manipulator Based on an Adaptive Neuro-Fuzzy Inference System
Applied Sciences, 2023 Taking an intelligent trimming device hydraulic manipulator as the research object, aiming at the uncertainty, nonlinearity and complexity of its system, a trajectory tracking control scheme is studied in this paper.
Jiangyi Han, Fan Wang, Chenxi Sun
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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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