ABSTRACT
RESEARCH AND APPLICATION OF BP NEURAL NETWORK IN PREDICTING FABRIC PROPERTIES
Journal: Applied Computer Letters (ACL)
Author: Gader Poorrahma
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
This paper introduces the characteristics of BP neural network. The latest research achievements of BP neural network in predicting fabric properties are discussed in detail, such as predicting fabric heat transfer performance, evaluating fabric formability grade, predicting cotton fabric drapability, predicting fabric tensile properties, fabric feel evaluation, predicting cotton fabric permeability, quality prediction and process control of worsted fabric finishing, temperature perception of touching fabric, and evaluating cotton fabric feel. At the same time, as discussed with BP neural network, it will have more application prospects in predicting fabric properties.
| Pages | 17-20 |
| Year | 2020 |
| Issue | 1 |
| Volume | 4 |
Download PDF