摘要
针对文献[6]中模糊自组织神经网络算法在处理混迭的目标信号时选择参数的不足之处,提出了改进算法,并将该算法应用于混迭的信号目标识别。仿真结果表明,新算法比旧算法具有更强的识别能力。
It introduces an improved algorithm that is applied to the recognition of muddleheaded being dead against the defect of fuzzy self-organizing neural network in choosing parameter of literature[6].The simulation results show that the recognition capability of new algorithm is stronger than that of the old.
出处
《天水师范学院学报》
2008年第2期25-27,共3页
Journal of Tianshui Normal University
基金
西安工程大学校管科研项目(2006XG37)阶段性成果
关键词
模糊自组织神经网络
信息融合
目标识别
fuzzy self-organizing neural network
data fusion
target recognition
