This paper presents the approaches of multi sensor (radar and infrared sensor) data fusion for object recognition and tracking, which can make use of the complement and redundancy of data.
考虑到单传感器的系统存在着局限性，提出了基于多传感器(雷达和红外)信号融合的目标识别和跟踪系统，以利用数据的互补和冗余。
Neural network has extensively applied to fault diagnosis. By being combined with other technologies, it will achieve more superiority over its defect in redundancy of data and network construct.
神经网络已广泛应用于故障诊断领域，但也存在冗余数据难以剔除、网络结构复杂的缺陷，与其他理论相结合可以得到更优越的诊断特性。
Neural network has extensively applied to fault diagnosis. By being combined with other technologies, it will achieve more superiority over its defect in redundancy of data and network construct.
神经网络已广泛应用于故障诊断领域，但也存在冗余数据难以剔除、网络结构复杂的缺陷，与其他理论相结合可以得到更优越的诊断特性。
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