Evolving Fuzzy Model for Fault Detection and Fault Identification of Dynamic Processes
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-05645-2_9
Reference30 articles.
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2. Angelov, P.: Evolving Rule-Based Models: A Tool for Design of Flexible Adaptive Systems, 1st edn. Springer, London (2002)
3. Angelov, P.: Anomaly detection based on eccentricity analysis. In: IEEE Symposium on Evolving and Autonomous Learning Systems (EALS), Orlando, pp. 1–8 (2014)
4. Angelov, P., Yager, R.: Simplified fuzzy rule-based systems using non-parametric antecedents and relative data density. In: Symposium Series on Computational Intelligence (IEEE SSCI 2011) - IEEE Workshop on Evolving and Adaptive Intelligent Systems (EAIS 2011), pp. 62–69 (2011)
5. Angelov, P., Filev, D., Kasabov, N.: Evolving Intelligent Systems: Methodology and Applications. Wiley, New Jersey (2010)
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