A Review of Literature About the Use of Artificial Neural Networks Systems on Prediction of Clothing Comfort

Utkun, Emine

doi:10.5505/pajes.2014.29491

Cited by 4 publications

(15 citation statements)

References 21 publications

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“…[1][2][3][4][5][6][7][8][9] The clothing comfort depending on these parameters is evaluated within the clothing physiology. [10][11][12] The aim of the science of clothing physiology is to create rules for clothing design and production which will not affect the comfort and working efficiency of the person negatively and even contribute to the healing, taking into consideration the fashion and sales parameters. 10 Clothing comfort is defined as the user's feeling of being physically and psychologically comfortable within the current working conditions of user.…”

Section: Introductionmentioning

confidence: 99%

“…[10][11][12] The aim of the science of clothing physiology is to create rules for clothing design and production which will not affect the comfort and working efficiency of the person negatively and even contribute to the healing, taking into consideration the fashion and sales parameters. 10 Clothing comfort is defined as the user's feeling of being physically and psychologically comfortable within the current working conditions of user. 10,[13][14][15] Different techniques such as correlation analysis, regression analysis, factor analysis, artificial neural networks, and fuzzy logic were used to analyze the comfort of clothes.…”

Section: Introductionmentioning

confidence: 99%

“…10 Clothing comfort is defined as the user's feeling of being physically and psychologically comfortable within the current working conditions of user. 10,[13][14][15] Different techniques such as correlation analysis, regression analysis, factor analysis, artificial neural networks, and fuzzy logic were used to analyze the comfort of clothes. 10 Correlation analysis determines the relationship and direction between variables.…”

Section: Introductionmentioning

confidence: 99%

“…10,[13][14][15] Different techniques such as correlation analysis, regression analysis, factor analysis, artificial neural networks, and fuzzy logic were used to analyze the comfort of clothes. 10 Correlation analysis determines the relationship and direction between variables. In regression analysis, the function of relationship can be determined by considering dependent and independent variables.…”

Section: Introductionmentioning

confidence: 99%

“…In regression analysis, the function of relationship can be determined by considering dependent and independent variables. 10,16 Factor analysis is a technique that allows obtaining a small number of but independent variable sets by combining moderately or highly related variables with each other. It is thus possible to reduce many variables to a few clusters or sizes.…”

Section: Introductionmentioning

confidence: 99%

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A research on the investigation of physical properties of polyester/cotton fabrics

Turan¹,

Türker²

2018

JTEFT

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The aim of this study is to reach closer results to the actual measurements by using artificial neural networks in evaluating the properties of single and double layer woven fabrics that affect the end user. The variation of the most important parameters such as breaking strength, weight, thickness, tearing strength properties to meet the end user's needs depending on the yarn count and the weaving type was investigated. In the fabrics produced in this study, cotton yarn was used as weft yarn in three different numbers and 90 denier polyester yarns were used as warp yarn. Plain, twill, panama, warp rips and satin were used as weaving type. Fabrics were weaved in three different weft frequencies. Evaluations using artificial neural networks were found to give closer results to the actual measurements.Citation: Turker E, Turan NY. A research on the investigation of physical properties of polyester/cotton fabrics.Citation: Turker E, Turan NY. A research on the investigation of physical properties of polyester/cotton fabrics.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A research on the investigation of physical properties of polyester/cotton fabrics

Turan¹,

Türker²

2018

JTEFT

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Artificial neural network in property valuation: application framework and research trend

Abidoye

Chan

2017

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Purpose The predictive accuracy and reliability of artificial intelligence models, such as the artificial neural network (ANN), has led to its application in property valuation studies. However, a large percentage of such previous studies have focused on the property markets in developed economies, and at the same time, effort has not been put into documenting its research trend in the real estate domain. The purpose of this paper is to critically review the studies that adopted ANN for property valuation in order to present an application guide for researchers and practitioners, and also establish the trend in this research area. Design/methodology/approach Relevant articles were retrieved from online databases and search engines and were systematically analyzed. First, the background, the construction and the strengths and weaknesses of the technique were highlighted. In addition, the trend in this research area was established in terms of the country of origin of the articles, the year of publication, the affiliations of the authors, the sample size of the data, the number of the variables used to develop the models, the training and testing ratio, the model architecture and the software used to develop the models. Findings The analysis of the retrieved articles shows that the first study that applied ANN in property valuation was published in 1991. Thereafter, the technique received more attention from 2000. While a quarter of the articles reviewed emanated from the USA, the rest were conducted in mostly developed countries. Most of the studies were conducted by universities scholars, while very few industry practitioners participated in the research works. Also, the predictive accuracy of the ANN technique was reported in most of the papers reviewed, but a few reported otherwise. Research limitations/implications The articles that are not indexed in the search engines and databases searched and also not available in the public domain might not have been captured in this study. Practical implications The findings of this study reveal a gap between the valuation practice in developed and developing property markets and also the contributions of real estate practitioners and universities scholars to real estate research. A paradigm shift in the valuation practice in developing nations could lead to achieving a sustainable international valuation practice. Originality/value This paper presents the trend in this research area that could be useful to real estate researchers and practitioners in different property markets around the world. The findings of this study could also encourage collaboration between industry professionals and researchers domiciled in both developed and developing countries.

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Bazi Mekaniksel Deri Ve Tekstil Standart Metotlarinin Uygulamali Olarak Karşilaştirilmasi

ÖRK EFENDİOĞLU,

TEMEL

2023

Mühendislik Bilimleri Ve Tasarım Dergisi

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Fabrics, leathers and artificial materials show structurally different properties. For example, if a fabric material is woven, it is formed by connecting the threads at a right angle to each other with a certain system; on the other hand, leather is formed by naturally binding complex collagen fibers with specific and different angles depending on their area. Also, artificial materials are produced disparately using PVC and PU. These structural differences directly affect the mechanical properties of materials and therefore Turkish Standards Institute (TSE) offers different test methods for textile and leather materials. There are some differences between these standards according to the shape/size of test samples, jaw length, speed, etc. Since leather is an expensive material and has a limited area, sample sizes of leather standards are smaller than the dimensions specified in the textile standard; however, sample sizes in textile standards can be a problem for some expensive textile materials e.g., silk, silver-added fabrics, vicuna, etc. The aim of this study is to examine the differences between the results obtained from the textile and leather standard methods. In this scope, the tensile strength, elongation and tear load values of the two different tanned garment leathers, artificial material, and two different kinds of woven fabrics were obtained by applying both leather and textile standard methods. While there was a statistical difference between the two methods in tensile strength and elongation values for all materials, no difference was observed in tear load values.

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A Review of Literature About the Use of Artificial Neural Networks Systems on Prediction of Clothing Comfort

Cited by 4 publications

References 21 publications

A research on the investigation of physical properties of polyester/cotton fabrics

A research on the investigation of physical properties of polyester/cotton fabrics

Artificial neural network in property valuation: application framework and research trend

Bazi Mekaniksel Deri Ve Tekstil Standart Metotlarinin Uygulamali Olarak Karşilaştirilmasi

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