Journal Published Online: 21 July 2021
Volume 50, Issue 1

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



Microplastic particles are a burgeoning population crisis in marine environments. This work is to predict the release of microplastic 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 microplastic 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 microplastic fiber release from jeans.

Author Information

Muthusamy, Lekha Priya
Department of Mathematics, Government Arts College, Coimbatore, Tamil Nadu, India
Periyasamy, Aravin Prince
Department of Bioproducts and Biosystems, School of Chemical Engineering, Aalto University, Espoo, Finland
Militky, Jiri
DMI, Technical University of Liberec, Liberec, Czech Republic
Thangasamy, Palani Rajan
Department of Fashion Technology, VIT Fashion Institute of Technology (VFIT), Chennai, Tamil Nadu, India
Pages: 14
Price: $25.00
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Stock #: JTE20210175
ISSN: 0090-3973
DOI: 10.1520/JTE20210175