为实现高精度识别功能,基于Mach-Zehnder光纤传感器建立光纤入侵行为识别系统.引入多元回归统计原理,建立常用信号特征参量与设定因变量之间的多元回归方程.通过逐步引入校验方法,验证回归模型的显著性校验,实现特征的优化选取.利用选取的有效特征,构造基于感知准则的入侵行为识别系统.实验证明基于多元统计原理的入侵行为识别系统具有良好的识别准确率,且识别准确率达到83.33%.
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