RFID Based Tire Classification Algorithm Using Support Vector Machines

A. Brandewie, R. Burkholder
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Abstract

Radio frequency identification (RFID) readers record enormous amounts of data from passive tags located throughout the environment. Due to the large data sets RFID readers collect, machine learning approaches can be used to train robust models. This paper develops an RFID based tire classifier using support vector machines (SVMs). The algorithm correctly identifies all tires in a lab environment and simulations show how the algorithm performs with increased path attenuation.
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基于RFID的支持向量机轮胎分类算法
无线射频识别(RFID)阅读器记录大量的数据从被动标签位于整个环境。由于RFID读取器收集的大量数据集,机器学习方法可用于训练鲁棒模型。本文利用支持向量机(svm)开发了一种基于RFID的轮胎分类器。该算法在实验室环境中正确识别所有轮胎,仿真显示了该算法在增加路径衰减时的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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