Essays about: "Avvikelsedetektion"
Showing result 6 - 8 of 8 essays containing the word Avvikelsedetektion.
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6. Unsupervised anomaly detection in time series with recurrent neural networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Artificial neural networks (ANN) have been successfully applied to a wide range of problems. However, most of the ANN-based models do not attempt to model the brain in detail, but there are still some models that do. An example of a biologically constrained ANN is Hierarchical Temporal Memory (HTM). READ MORE
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7. Anomaly Detection for Temporal Data using Long Short-Term Memory (LSTM)
University essay from KTH/Skolan för informations- och kommunikationsteknik (ICT)Abstract : We explore the use of Long short-term memory (LSTM) for anomaly detection in temporal data. Due to the challenges in obtaining labeled anomaly datasets, an unsupervised approach is employed. We train recurrent neural networks (RNNs) with LSTM units to learn the normal time series patterns and predict future values. READ MORE
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8. A Framework for Anomaly Detection withApplications to Sequences
University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)Abstract : Anomaly detection is an important issue in data mining and analysis, with applications in almost every area of science, technology and business that involves data collection.The development of general, automated anomaly detection methods could therefore have a large impact on data analysis across many domains. READ MORE