摘要
将用于辨识的数据看作是多维空间中的若干点,并通过确定引导点的方法将上述空间中的点用模糊分段直线加以拟合,从而构成了具有线性回归形式的模糊函数模型.利用这种简便算法辨识 Box-Jenkins 的煤气炉数据,得到的结果比现有的模糊关系模型辨识的结果好得多.此外,对一条飞行航迹的辨识结果也非常令人满意.
If the data used for identification are considered as points in a multi-dimension space,they can be fitted with the fuzzy polygonal line by determining the leading-points.Then thefuzzy functional model with linear regression equations can be built.The simple identifica-tion algorithm is tested with Box-Jenkins' gas data and the result obtained is much betterthan that of the identification algorithms in fuzzy relational systems.Moreover,the identi-fication of an airline is also satisfactory.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
1992年第4期123-128,共6页
Journal of Xidian University
关键词
模糊函数
模型辨识
煤气炉数据
fuzzy functional systems identification
linear regression
leading-points
Box-Jenkins gas data
