Hybrid Neuro-Genetic Machine Learning Models for the Engineering of Ring-spun Cotton Yarns

Hybrid Neuro-Genetic Machine Learning Models for the Engineering of Ring-spun Cotton Yarns

Yarn engineering is a long-standing problem for the cotton spinning industry as the functional relationship between fiber and yarn properties is quite complex. The objective of this research is to develop a hybrid machine learning-based prescriptive yarn engineering system that can foretell the prop...

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Bibliographic Details
Main Authors: Abhijit Majumdar, Aman Jindal, Sanchi Arora, Mukesh Bajya
Format: Article
Language:English
Published: Taylor & Francis Group 2022-11-01
Series:Journal of Natural Fibers
Subjects:
artificial neural network
genetic algorithm
machine learning
prescriptive analytics
yarn engineering
Online Access:http://dx.doi.org/10.1080/15440478.2022.2071375

Internet

http://dx.doi.org/10.1080/15440478.2022.2071375

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