Comparison of artificial intelligence methods for predicting compressive strength of concrete
Građevinar, 2021 Compressive strength of concrete is an important parameter in concrete design. Accurate prediction of compressive strength of concrete can lower costs and save time.
Mehmet Timur Cihan
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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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Illuminant Estimation Using Adaptive Neuro-Fuzzy Inference System
Applied Sciences, 2021 Computational color constancy (CCC) is a fundamental prerequisite for many computer vision tasks. The key of CCC is to estimate illuminant color so that the image of a scene under varying illumination can be normalized to an image under the canonical ...
Yunhui Luo +3 more
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Adaptive Neuro-Fuzzy Inference System for Waste Prediction
Knowledge Engineering and Data Science, 2022 The volume of landfills that are increasingly piled up and not handled properly will have a negative impact, such as a decrease in public health. Therefore, predicting the volume of landfills with a high degree of accuracy is needed as a reference for ...
Haviluddin Haviluddin +5 more
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A novel approach for ANFIS modelling based on Grey system theory for thermal error compensation [PDF]
, 2014 The fast and accurate modelling of thermal errors in machining is an important aspect for the implementation of thermal error compensation. This paper presents a novel modelling approach for thermal error compensation on CNC machine tools.
Fletcher, Simon +2 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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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
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Multi-step ahead direct prediction for machine condition prognosis using regression trees and neuro-fuzzy systems [PDF]
, 2009 This paper presents an approach to predict the operating conditions of machine based on classification and regression trees (CART) and adaptive neuro-fuzzy inference system (ANFIS) in association with direct prediction strategy for multi-step ahead ...
Yang, Bo-Suk +4 more
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A comparison of fuzzy approaches to e-commerce review rating prediction [PDF]
, 2015 This paper presents a comparative analysis of the performance of fuzzy approaches on the task of predicting customer review ratings using a computational intelligence framework based on a genetic algorithm for data dimensionality reduction.
Cosma, G, Acampora, G
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