Neural Networks for Air Permeability Prediction.

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24410%2F03%3A00000027" target="_blank" >RIV/46747885:24410/03:00000027 - 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 Air Permeability Prediction.
Original language description
The fabric porosity is leading factor for explaining air permeability of fabrics. Due to differences between ideal and real geometry and random variation of fabric structure there are no linear dependences between air permeability and predicted fabric porosity. Lack of theoretical model for this situation leads to the utilization of nonparametric regression techniques as neural networks. Introduction to the rational basis function neural networks in the context of nonparametric multivariate regression modeling is done.
Czech name
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Czech description
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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

Article name in the collection
4 th International Conference Innovation and Modeling of Clothing Engineering Process – IMCEP 2003
ISBN
86-435-0575-7
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
162-170
Publisher name
Faculty of Mechanical Engineering, Maribor University
Place of publication
Maribor
Event location
Maribor
Event date
Sep 9, 2003
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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