Abstract
In a common parlance the chemical fabric are described with the fabric structure parameters and the fabric styles and there are much subtle mathematical correlation between the two descriptions. The research on the correlation will be beneficial to the students of textile majors in the learning, fabric designers in the fabric design and fashion designers in the fabric choosing. The paper aims to do some research on the correlation in neural network technology, and to establish a chemical fabric style prediction system using MATLAB.
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Acknowledgements
The authors acknowledge the financial support of Beijing Key Laboratory of clothing materials research, development and evaluation under the grant number: 2011ZK-06. The authors also acknowledge the financial support of the project “The construction of the specialty of electronic information engineering under the Internet + background” under the grant number: NHFZ2016012.
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Chen, J., Li, H. (2017). Research of Chemical Fabric Style Prediction System Based on Integrated Neural Network. In: Xhafa, F., Patnaik, S., Yu, Z. (eds) Recent Developments in Intelligent Systems and Interactive Applications. IISA 2016. Advances in Intelligent Systems and Computing, vol 541. Springer, Cham. https://doi.org/10.1007/978-3-319-49568-2_19
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DOI: https://doi.org/10.1007/978-3-319-49568-2_19
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