Results 171 to 180 of about 30,817 (217)
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, 2020
The main objective of this research was to apply an adaptive neuro-fuzzy inference system (ANFIS) approach aided by Partial Least Squares Structural Equation Modeling (PLS-SEM) to assess safety at work, defined as employee propensity to follow safety ...
Erman Çakıt +5 more
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The main objective of this research was to apply an adaptive neuro-fuzzy inference system (ANFIS) approach aided by Partial Least Squares Structural Equation Modeling (PLS-SEM) to assess safety at work, defined as employee propensity to follow safety ...
Erman Çakıt +5 more
semanticscholar +1 more source
Optimization of Photosynthetic Rate Parameters using Adaptive Neuro-Fuzzy Inference System (ANFIS)
2017 International Conference on Computer and Applications (ICCA), 2017Crop growth is greatly affected by light intensity, temperature and CO 2 concentration. The combinations of these factors are considered in growing crops. In this study, a system was developed using adaptive neuro-fuzzy inference system for the prediction of the photosynthetic rate of lettuce crop based on the temperature, light intensity and CO 2 . A
Ira C. Valenzuela +3 more
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Journal of Computer Science, 2020
Vehicular Ad hoc NETworks (VANET) allow communications between vehicles using their own connection infrastructure. There are several advantages and applications in using this technology and one of most significant is road safety.
B. A. Bensaber +2 more
semanticscholar +1 more source
Vehicular Ad hoc NETworks (VANET) allow communications between vehicles using their own connection infrastructure. There are several advantages and applications in using this technology and one of most significant is road safety.
B. A. Bensaber +2 more
semanticscholar +1 more source
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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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
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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
, 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
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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
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
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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, 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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