TY - JOUR
T1 - Adaptive Neuro-Fuzzy Inference System to Predict the Release of Microplastic Fibers during Domestic Washing
AU - Muthusamy, Lekha Priya
AU - Periyasamy, Aravin Prince
AU - Militky, Jiri
AU - Thangasamy, Palani Rajan
N1 - Publisher Copyright:
Copyright © 2021 by ASTM International.
PY - 2022/1/1
Y1 - 2022/1/1
N2 - 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.
AB - 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.
KW - Adaptive neuro-fuzzy inference system
KW - Domestic washing
KW - Jeans
KW - Micro plastic fibers
UR - http://www.scopus.com/inward/record.url?scp=85110720385&partnerID=8YFLogxK
U2 - 10.1520/jte20210175
DO - 10.1520/jte20210175
M3 - Article
SN - 0090-3973
VL - 50
JO - Journal of Testing and Evaluation
JF - Journal of Testing and Evaluation
IS - 1
ER -