Comparison of Regression and Adaptive Neuro-fuzzy Models for Predicting the Compressed Air Consumption in Air-jet Weaving

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24410%2F13%3A%230001619" target="_blank" >RIV/46747885:24410/13:#0001619 - isvavai.cz</a>

Výsledek na webu

<a href="http://link.springer.com/article/10.1007%2Fs12221-014-0390-x#" target="_blank" >http://link.springer.com/article/10.1007%2Fs12221-014-0390-x#</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s12221-014-0390-x" target="_blank" >10.1007/s12221-014-0390-x</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Comparison of Regression and Adaptive Neuro-fuzzy Models for Predicting the Compressed Air Consumption in Air-jet Weaving

Popis výsledku v původním jazyce

The aim of this study was to compare the response surface regression and adaptive neuro-fuzzy models for predicting the compressed air consumption in air jet weaving. The prediction models are based on the experimental data of 100 samples comprising weftyarn count, fabric width, loom speed and reed count as input variables and compressed air consumption as output/response variable. The models quantitatively characterize the linear and quadratic relationships as well as interactions between the input and output variables exhibiting very good prediction ability and accuracy, with ANFIS model being slightly better in performance than the regression model. The models could be used for estimating the compressed air consumption, identifying air leakages andproduction planning in a weaving mill.

Název v anglickém jazyce

Comparison of Regression and Adaptive Neuro-fuzzy Models for Predicting the Compressed Air Consumption in Air-jet Weaving

Popis výsledku anglicky

The aim of this study was to compare the response surface regression and adaptive neuro-fuzzy models for predicting the compressed air consumption in air jet weaving. The prediction models are based on the experimental data of 100 samples comprising weftyarn count, fabric width, loom speed and reed count as input variables and compressed air consumption as output/response variable. The models quantitatively characterize the linear and quadratic relationships as well as interactions between the input and output variables exhibiting very good prediction ability and accuracy, with ANFIS model being slightly better in performance than the regression model. The models could be used for estimating the compressed air consumption, identifying air leakages andproduction planning in a weaving mill.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JJ - Ostatní materiály

OECD FORD obor

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Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název periodika

Fibers & Polymers

ISSN

1229-9197

e-ISSN

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Svazek periodika

15

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

KR - Korejská republika

Počet stran výsledku

6

Strana od-do

390-395

Kód UT WoS článku

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EID výsledku v databázi Scopus

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