Design and Study of Mountaineering Wear Based on Nano Antibacterial Technology and Prediction Model

Chun-feng Xia, Jiang Wu and Wei Wang
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Chun-feng Xia: Zhejing Industry Polytechnic College, China
Jiang Wu: Zhejing Industry Polytechnic College, China
Wei Wang: Zhejing Industry Polytechnic College, China

International Journal of Healthcare Information Systems and Informatics (IJHISI), 2022, vol. 17, issue 1, 1-16

Abstract: In order to improve function of mountaineering wear to promote the development of outer mountaineering wear industry, nano antibacterial technology is applied to make mountaineering wear. Firstly, the antibacterial properties of nano materials are discussed. Secondly, the antibacterial performance experiment of nano Ag ion is design, and experimental results show that the antibacterial performance of nano Ag ion, and nano Ag ion has better antibacterial effect on staphylococcus aureus, Escherichia coli, and candida albicans. Thirdly, the antibacterial performance prediction model of nano materials is constructed based on wavelet neural network, and then the training algorithm is designed. Finally, the prediction simulation analysis of antibacterial performance of nano Ag ion in moutaineering wear is carried out, results show that the wavelet neural network has good prediction effect, prediction results from wavelet neural network are agreed with real values, therefore the wavelet neural network has higher prediction precision.

Date: 2022
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