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Showing 1 to 4 of 4 for “"Mackey Glass Time Series"”.

  1. Learning of Type-2 Fuzzy Logic Systems using Simulated Annealing.

    … problems. These problems are: noise-free Mackey-Glass time series forecasting, noisy Mackey-Glass time series forecasting and two real world problems which are: the estimation of the low voltage electrical line length in rural towns and the estimation of the medium voltage electrical line …

    de-montfort Repository record for Learning of Type-2 Fuzzy Logic Systems using Simulated Annealing. (opens in a new tab)

  2. Type-2 Fuzzy Probabilistic System for Proactive Monitoring of Uncertain Data-intensive Seasonal Time Series

    … monitoring of uncertain data-intensive seasonal time series in both theoretical and practical implications. In this thesis, a new form of representation, J˜-plane, is proposed for concave and unnormalized type-2 fuzzy events as well as convex and normalized ones, which facilitates bridging the …

    de-montfort

  3. Type-2 Fuzzy Probabilistic System for Proactive Monitoring of Uncertain Data-intensive Seasonal Time Series

    … proactive monitoring of uncertain data-intensive time series in both theoretical and practical implications. In this thesis, a new form of representation, J-plane, is proposed for concave and un-normalized type-2 events as well as convex and normalizes ones, which facilitates bridging the gaps …

    de-montfort Repository record for Type-2 Fuzzy Probabilistic System for Proactive Monitoring of Uncertain Data-intensive Seasonal Time Series (opens in a new tab)

  4. Immunology based methodology for detecting and searching anomalies

    "Anomaly detection can be defined as the identification of any abnormalities occurring in the normal functioning of a system. A related problem is search for the occurrence of a specific event from a set of large type of possible events. A brute force search or detection of anomalies is …

    must-thes Repository record for Immunology based methodology for detecting and searching anomalies (opens in a new tab)