Integration of fuzzy ontologies and neural networks in the detection of time series anomalies

HIGHLIGHTS

• who: Vadim Moshkin and colleagues from the Department of Information Systems, Ulyanovsk State Technical University, Severny Venets Str, Ulyanovsk, Russia have published the research work: Integration of Fuzzy Ontologies and Neural Networks in the Detection of Time Series Anomalies, in the Journal: Mathematics 2023, Mathematics 2023,11, 11,1204 x FOR PEER REVIEW of /2023/
• what: The authors propose a method based on the integration of a neural network with long short-term memory (LSTM) and_(Fuzzy Web Ontology Language) ontology. The authors propose the architecture of a software system that implements this approach. The . . .
  

   

  

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