Adaptive Neuro-Fuzzy Inference System to Predict the Release of Microplastic Fibers during Domestic Washing

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24410%2F22%3A00009550" target="_blank" >RIV/46747885:24410/22:00009550 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/46747885:24410/22:00010524

Výsledek na webu

<a href="https://www.astm.org/jte20210175.html" target="_blank" >https://www.astm.org/jte20210175.html</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1520/JTE20210175" target="_blank" >10.1520/JTE20210175</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Adaptive Neuro-Fuzzy Inference System to Predict the Release of Microplastic Fibers during Domestic Washing

Popis výsledku v původním jazyce

Micro plastic particles are a burgeoning population crisis in marine environments. This work is to predict the release of micro plastic fibers from jeans made from polyester during domestic washing by using of adaptive neuro-fuzzy inference system (ANFIS) model. The advantage of the ANFIS model is to predict the variations between the randomly chosen parameters. This prediction model can be cost-effective and slowed down to study behavior more closely. The consequence of washing duration, temperature, spin speed, detergent types, and conditioner usage was investigated against the micro plastic fiber release. The washing temperature, washing duration, spin speed, detergent types, and addition of conditioner are the main factors for this research work. The forecast presentations have been exposed by having a considerably lowered root mean square error value of 3.23 compared with the variant of the experiment as exposed by its standard deviation for the ANFIS version. This ANFIS model will be able to provide a theoretical understanding to enhance and inhibit micro plastic fiber release from jeans.

Název v anglickém jazyce

Adaptive Neuro-Fuzzy Inference System to Predict the Release of Microplastic Fibers during Domestic Washing

Popis výsledku anglicky

Micro plastic particles are a burgeoning population crisis in marine environments. This work is to predict the release of micro plastic fibers from jeans made from polyester during domestic washing by using of adaptive neuro-fuzzy inference system (ANFIS) model. The advantage of the ANFIS model is to predict the variations between the randomly chosen parameters. This prediction model can be cost-effective and slowed down to study behavior more closely. The consequence of washing duration, temperature, spin speed, detergent types, and conditioner usage was investigated against the micro plastic fiber release. The washing temperature, washing duration, spin speed, detergent types, and addition of conditioner are the main factors for this research work. The forecast presentations have been exposed by having a considerably lowered root mean square error value of 3.23 compared with the variant of the experiment as exposed by its standard deviation for the ANFIS version. This ANFIS model will be able to provide a theoretical understanding to enhance and inhibit micro plastic fiber release from jeans.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20500 - Materials engineering

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název periodika

JOURNAL OF TESTING AND EVALUATION

ISSN

0090-3973

e-ISSN

—

Svazek periodika

50

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

14

Strana od-do

91-104

Kód UT WoS článku

000736460500001

EID výsledku v databázi Scopus

2-s2.0-85110720385