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Adaptive Neuro-Fuzzy System For Quantitative Evaluation of Woven Fabrics? Pilling Resistance

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24410%2F15%3A%230003700" target="_blank" >RIV/46747885:24410/15:#0003700 - isvavai.cz</a>

  • Alternative codes found

    RIV/46747885:24410/15:00002648

  • Result on the web

    <a href="http://dx.doi.org/10.1016/j.eswa.2014.10.013" target="_blank" >http://dx.doi.org/10.1016/j.eswa.2014.10.013</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.eswa.2014.10.013" target="_blank" >10.1016/j.eswa.2014.10.013</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Adaptive Neuro-Fuzzy System For Quantitative Evaluation of Woven Fabrics? Pilling Resistance

  • Original language description

    Fabric pilling is considered a performance and aesthetic property of the woven products that determine its quality. The subjective evaluation of the fabric pilling results in misleading values that depend on the measurement standard even for the same sample. This work utilizes some textural features extracted from the fabric?s images to obtain better representative and quantitative values of the fabric?s surface. An algorithm for creating features dataset for training and testing the soft-computing classifier was described where random noise was added to the limited number of fabric?s pilling standard images. The objective pilling classification of the fabric samples was performed using an adaptive neuro-fuzzy system (ANFIS) which showed an ability toclassify the noised standard images with a correct classification rate of 85.8%. The ANFIS was also able to classify actual fabric samples with a Spearman?s coefficient of rank correlation at +0.985 when compared with the classification g

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JS - Reliability and quality management, industrial testing

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/EE2.3.30.0065" target="_blank" >EE2.3.30.0065: Support of the creation of excellent research and development teams at the Technical University of Liberec</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2015

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Expert Systems with Applications

  • ISSN

    0957-4174

  • e-ISSN

  • Volume of the periodical

    42

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    16

  • Pages from-to

    2098-2113

  • UT code for WoS article

    000347579500029

  • EID of the result in the Scopus database