摘要
在类概率密度函数是多变量正态分布的情况下,对已知模式特征向量维数不等的模式识别问题进行了研究,根据统计理论和模糊综合函数理论给出了6个判决规则。最后,用一个信息融合系统中的实例表明了本文方法的有效性。
Under the condition of the probability density functions of the classes being Gaussian, this paper studies the pattern recognition problem when the known patterns have different dimensions of characteristic vectors, and gives six decision rules based on the statistical theory and the fuzzy synthetic function. Finally, an example in data-fusion system is given and the results show that the methods are effective.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
1998年第4期370-377,共8页
Pattern Recognition and Artificial Intelligence
基金
国防科研基金
关键词
模式识别
相似性向量
判别函数
Pattern Recognition, Similarity Vector, Discriminant Function
