1. 江南大学通信与控制工程学院
2. 江南大学通信与控制工程学院,江苏,无锡,214122
纸质出版:2008
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[1]张宇林,蒋鼎国,朱小六,徐保国.基于QDPSO-BP网络的多传感器融合算法[J].传感器与微系统,2008(03):21-23.
ZHANG Yu-lin, JIANG Ding-guo, ZHU Xiao-liu, et al. Algorithm of multi-sensor data fusion based on QDPSO-BP network[J]. 2008, (3): 21-23.
[1]张宇林,蒋鼎国,朱小六,徐保国.基于QDPSO-BP网络的多传感器融合算法[J].传感器与微系统,2008(03):21-23. DOI: 10.13873/j.1000-97872008.03.030.
ZHANG Yu-lin, JIANG Ding-guo, ZHU Xiao-liu, et al. Algorithm of multi-sensor data fusion based on QDPSO-BP network[J]. 2008, (3): 21-23. DOI: 10.13873/j.1000-97872008.03.030.
多传感器数据融合的理论和方法已经被应用到许多领域。但目前对于多传感器所测的数据还没有一种通用的行之有效的处理方法。基于量子空间的粒子群(QDPSO)算法训练的BP神经网络具有较好的稳定性和收敛性
将其运用于多传感器的数据融合
在仿真中取得了比常规算法更高的精度
控制策略制定准确、可靠
是一种较有潜力的多传感器数据融合方法。
Theory and methods of multi-sensor data fusion are applied to a lot of research fields in recent years.But currently
there is not a very useful method that can handle data of multi-sensor system universally.BP network
which is based on QDPSO algorithm
has better stability and convergence.Applied to multi-sensor data fusion
in the emulation higher accuracy than conventional algorithms can be achieved and control-strategy obtained is precise
credible.It is a kind of potential data fusion method.
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