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Estimation of Housing Demand with Adaptive Neuro-Fuzzy Inference Systems (ANFIS)

2017
It 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
openaire   +1 more source

Application of Adaptive Neuro Fuzzy Inference System (ANFIS) to Active Noise Control

IFAC Proceedings Volumes, 2001
Abstract 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
openaire   +1 more source

Oxidative stability of virgin olive oil: evaluation and prediction with an adaptive neuro-fuzzy inference system (ANFIS).

The Journal of the Science of Food and Agriculture, 2019
BACKGROUND An adaptive neuro-fuzzy inference system (ANFIS) was employed to predict the oxidative stability of virgin olive oil (VOO) during storage as a function of time, storage temperature, total polyphenol, α-tocopherol, fatty acid profile ...
M. Arabameri   +7 more
semanticscholar   +1 more source

Prediction of FRP shear contribution for wrapped shear deficient RC beams using adaptive neuro-fuzzy inference system (ANFIS)

, 2020
This study aims to predict the shear contribution of fiber-reinforced polymers (FRP) for the wrapped reinforced concrete (RC) beams using an adaptive neuro-fuzzy inference system (ANFIS).
S. Kar, A. Pandit, K. Biswal
semanticscholar   +1 more source

Analysing of exchange rate and gross domestic product (GDP) by adaptive neuro fuzzy inference system (ANFIS)

Physica A: Statistical Mechanics and its Applications, 2019
In this paper was investigated the effect of exchange rate pass-through (ERPT) into aggregate import prices. The results shown in the long run pass-through was not observed.
Srdjan Jovic   +4 more
semanticscholar   +1 more source

Equipment State Assessment System Based on Adaptive Neuro-Fuzzy Inference System (ANFIS)

Applied Mechanics and Materials, 2015
The 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
openaire   +1 more source

MCMI-ANFIS: A robust multi class multiple instance Adaptive Neuro-Fuzzy Inference System

2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2016
Fuzzy 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
openaire   +1 more source

Application of adaptive neuro-fuzzy inference systems (ANFIS) to delineate estradiol, glutathione and homocysteine interactions

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
openaire   +2 more sources

Development of an Adaptive Neuro-fuzzy Inference System (ANFIS) for Predicting Pavement Deterioration

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
openaire   +1 more source

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