Neural Networks for Light and Air Permeability Prediction.

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24410%2F03%3A00000023" target="_blank" >RIV/46747885:24410/03:00000023 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Neural Networks for Light and Air Permeability Prediction.

Original language description

The main aim of this work is prediction of fabric air permeability from predicted surface and density porosity (as combination of yarn diameters, weft and warp sett, planar weight and thickness of fabric). The 27-wool/PET plain weaves with constant settof warp and varying sett of weft and varying yarn fineness are used for predictive model building. The multiple linear regression model based on the yarn fineness and fabric sett is compared with nonparametric model created by neural network.

Czech name

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Czech description

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Type

A - Audiovisual production

CEP classification

JJ - Other materials

OECD FORD branch

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Project

<a href="/en/project/LN00B090" target="_blank" >LN00B090: Research Center "Textile"</a><br>

Continuities

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

Publication year

2003

Confidentiality

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

ISBN

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Place of publication

New Delhi

Publisher/client name

Indian Textile Association New Delhi

Version

7th Asian Textile Conference New Delhi

Carrier ID

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