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Št. zadetkov: 2
Evolving clustering of time series for unsupervised analysis of industrial data streams
Žiga Stržinar, Igor Škrjanc, Mahardhika Pratama, Boštjan Pregelj
Izvirni znanstveni članek
Oznake: analiza časovnih vrst;industrija;podatki;proizvodnja;stroji;time series analysis;evolving clustering;time series clustering;data stream;industrial data;
In industrial real-time process monitoring and fault detection, detecting and clustering machine events from time series data are essential tasks. However, conventional clustering methods often require the number of clusters to be known in advance, which is impractical in dynamic, real-world industr ...
Leto: 2025 Vir: Fakulteta za elektrotehniko (UL FE)
Advancements in data-driven evolving fuzzy and neuro-fuzzy control
Goran Andonovski, Daniel Leite, Radu-Emil Precup, Fernando Gomide, Mahardhika Pratama, Igor Škrjanc
Pregledni znanstveni članek
Oznake: inkrementalno strojno učenje;mehki sistemi;nevronske mreže;adaptivno in sprotno vodenje;vodenje na osnovi podatkov;incremental machine learning;fuzzy systems;neural networks;adaptive and real-time control;data-driven control;
In an era of increasing system complexity and growing demands for autonomy and efficiency, control systems must continuously adapt to dynamic and uncertain environments. This study presents a comprehensive survey of evolving fuzzy and neuro-fuzzy controllers, with emphasis on data-driven control sys ...
Leto: 2026 Vir: Fakulteta za elektrotehniko (UL FE)
Št. zadetkov: 2
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