Algorithm FLARS and recognition of time series anomalies
Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï(2019)
摘要
As a rule, algorithms of recognition of time series anomalies are based on time frequency or statistical analysis . This article is devoted to detailed formal description of new fuzzy set based algorithm FLARS (Fuzzy Logic Algorithm for Recognition of Signals). It recognizes time series anomalies by means "smooth" modelling (in fuzzy mathematics sense) of interpreter's logic, which searches for anomalies at the record.
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要