Fully unsupervised fault detection and identification based on recursive density estimation and self-evolving cloud-based classifier

Author:

Costa Bruno Sielly JalesORCID,Angelov Plamen Parvanov,Guedes Luiz Affonso

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference66 articles.

1. Evolving Rule-based Models: A Tool for Design of Flexible Adaptive Systems, Studies in Fuzziness and Soft Computing;Angelov,2002

2. An approach for fuzzy rule-base adaptation using on-line clustering;Angelov;Int. J. Approx. Reason.,2004

3. An approach for fuzzy rule-base adaptation using on-line clustering;Angelov;Int. J. Approx. Reason.,2004

4. P. Angelov, Anomalous System State Identification, Patent gb1208542.9, Priority Date 15 May 2012.

5. Autonomous Learning Systems: From Data to Knowledge in Real Time;Angelov,2012

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