A fuzzy counter propagation neural network (FCPN) based data fusion approach and a modified fuzzy counter propagation neural network (MFCPN) fusion architecture are proposed for target recognition.
针对数据融合和目标识别的特点,提出了基于模糊对向传播网络的融合目标识别方法和改进的模糊对向传播网络(MFCPN)融合结构。
In order to match the case in this situation, a fuzzy similarity function between case-target and Case-base was constructed based on the conception of membership degree and closeness degree.
为了在该情况下进行实例匹配,基于隶属度和贴近度的概念,构造了靶实例与基实例的模糊相似度函数,从而以统一形式同时处理上述两类数据。
Aim at the problem of multi-sensors target tracking in the dual band IR imaging system, a method of target tracking is presented using adaptive weighting fusion based on fuzzy inference.
针对双色红外成像制导系统中多传感器目标跟踪的实际问题,提出了一种基于模糊推理自适应加权融合的目标跟踪算法。
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