基于纳米抗菌技术的登山服设计与研究及预测模型

Pub Date : 2022-01-01 DOI:10.4018/ijhisi.315631
Chun-feng Xia, Jiang Wu, W. Wang
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引用次数: 0

摘要

为了提高登山服的功能,促进户外登山服产业的发展,应用纳米抗菌技术制作登山服。首先,讨论了纳米材料的抗菌性能。其次,设计了纳米银离子的抗菌性能实验,实验结果表明,纳米银离子和纳米银离子对金黄色葡萄球菌、大肠杆菌和白色念珠菌具有较好的抗菌效果。再次,基于小波神经网络构建了纳米材料抗菌性能预测模型,并设计了训练算法。最后,对纳米Ag离子在运动磨损中的抗菌性能进行了预测仿真分析,结果表明小波神经网络具有良好的预测效果,小波神经网络的预测结果与实际值一致,具有较高的预测精度。
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Design and Study of Mountaineering Wear Based on Nano Antibacterial Technology and Prediction Model
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.
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