在航空铝制加筋板上的实验表明，本文方法能准确、快速地识别损伤。
Aviation aluminum stiffened plate experiments show that the method can accurately and rapidly identify the damage.
实验表明这种方法比传统的方法识别错误率降低约40%。
Experimental results show that the new approach can decrease the recognition error rate by 40%.
将该方法用于一个目标识别任务的仿真实验，结果表明应用该方法能确定地识别出目标，是一种有效可行的多传感器数据融合方法。
By applying the method to the target identification, the simulation experiment shows that it can identify the target accurately and is an effective and feasible multi-sensor data fusion method.
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