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Estimation of Housing Demand with Adaptive Neuro-Fuzzy Inference Systems (ANFIS)
2017It has always been important to anticipate the demand for a product. To determine the demand for any product, the parameters such as the economic situation and the demands of the rival products are used generally. Especially in the housing sector, which is the locomotive sector for emerging countries, it is critical to anticipate housing demand and its
Olgun Aydin, Elvan Aktürk Hayat
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Application of Adaptive Neuro Fuzzy Inference System (ANFIS) to Active Noise Control
IFAC Proceedings Volumes, 2001Abstract In tilis paper, a new methodology for active noise control is proposed and experimentally demonstrated. The method is based on Adaptive Neuro Fuzzy Inferen e Systems (ANFIS), which is introduced to overcome nonJinearity inherent in active noise control. Filtered-X ANFIS algoritlun for leaning is derived.
Riyanto Bambang, Simeon Wicaksana
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Equipment State Assessment System Based on Adaptive Neuro-Fuzzy Inference System (ANFIS)
Applied Mechanics and Materials, 2015The paper is dedicated to analyze the modern expert systems to assess the technical condition of power stations and substations high-voltage equipment. The main problems of modern expert systems and their possible solutions are determined. As the structure and their basic construction principles are considered. Also this paper proposes an algorithm for
Alexandra Khalyasmaa +2 more
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MCMI-ANFIS: A robust multi class multiple instance Adaptive Neuro-Fuzzy Inference System
2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2016Fuzzy logic is a powerful tool to model knowledge uncertainty, measurements imprecision, and vagueness. However, there is another type of vagueness that arises when data have multiple forms of expression. This is the case for multiple instance learning problems (MIL). In MIL, an object is represented by a collection of instances, called a bag.
Amine Ben Khalifa, Hichem Frigui
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Clinical Nutrition ESPEN, 2017
The rationale of the current study was to elucidate the contributing factors for the gender-based differences in total plasma homocysteine levels. A total of 413 subjects comprising of 293 men and 120 women were enrolled for the study. Chemiluminescence technology for vitamin B12, folate and total plasma homocysteine; ELISA for estradiol and 8-oxo-2 ...
Iyyapu Krishna Mohan +7 more
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The rationale of the current study was to elucidate the contributing factors for the gender-based differences in total plasma homocysteine levels. A total of 413 subjects comprising of 293 men and 120 women were enrolled for the study. Chemiluminescence technology for vitamin B12, folate and total plasma homocysteine; ELISA for estradiol and 8-oxo-2 ...
Iyyapu Krishna Mohan +7 more
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Sustainable Intelligent Infrastructure
Pavement maintenance is a critical aspect of transportation and infrastructure management, as it directly impacts traffic flow, vehicle maintenance, safety and accident rate. Effective prediction and prevention of pavement deterioration are essential for optimizing pavement maintenance strategies, reducing cost, and ensuring the lifespan or longevity ...
Jesam Abam Ujong +8 more
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Pavement maintenance is a critical aspect of transportation and infrastructure management, as it directly impacts traffic flow, vehicle maintenance, safety and accident rate. Effective prediction and prevention of pavement deterioration are essential for optimizing pavement maintenance strategies, reducing cost, and ensuring the lifespan or longevity ...
Jesam Abam Ujong +8 more
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Adaptive neuro fuzzy inference system (anfis) applications in chemical processes
2020152
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Adaptive Neuro-fuzzy Inference System (ANFIS) Modelling in Energy System and Water Resources
2019Adaptive neuro-fuzzy inference system (ANFIS) has gained prominence in solving engineering problems over the past two decades. It has incredible ability to generalize for complex non-linear systems efficiently when used alone and more when trained with a hybrid technique. However, less is known about its strengths and peculiarities for effective use in
P. A. Adedeji +3 more
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Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, 2022
Matthew Vechione, Ruey Long Cheu
exaly
Matthew Vechione, Ruey Long Cheu
exaly
Adaptive neuro-fuzzy inference system (ANFIS) for fault classification in power lines
2019This article discusses the use of adaptive neuro-fuzzy inference system (ANFIS) for the classification of faults in power lines. This issue will be clearly addressed in this report. ANFIS can be thought of as a fuzzy system, neural network, or fuzzy neural network (FNN).
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