Fuzzy clustering for data compression, modeling, and optimization in recovered paper industry

DOI10.1016/S0947-3580(01)70941-7zbMath1293.93756OpenAlexW2015073298MaRDI QIDQ2512138

Martin Schlang, Erwin Gerstorfer, Erwin Jünnemann, Klaus Villforth, Thomas A. Runkler

Publication date: 7 August 2014

Published in: European Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0947-3580(01)70941-7

zbMATH Keywords

optimizationcompressionfuzzy clusteringsoft sensordeinkingflotation cell

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Nonlinear systems in control theory (93C10) Identification in stochastic control theory (93E12)

Cites Work

• Fuzzy identification of systems and its applications to modeling and control
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