Artificial intelligence/fuzzy logic method for analysis of combined signals from heavy metal chemical sensors

Electrochimica Acta

Volumn 54, Issue 25, 2009, Pages 6082-6088

  Turek, M ^a,b   Heiden, W ^c   Riesen, A ^c   Chhabda, T A ^a   Schubert, J ^b   Zander, W ^b   Kruger P ^d   Keusgen, M ^e   Schoning M J ^a,b  

^a AACHEN UNIVERSITY OF APPLIED SCIENCES   (Germany)

^b FORSCHUNGSZENTRUM JÜLICH   (Germany)

^c BONN RHEIN SIEG UNIVERSITY OF APPLIED SCIENCES   (Germany)

^d RWTH AACHEN UNIVERSITY   (Germany)

^e PHILIPPS UNIVERSITY MARBURG   (Germany)

Author keywords

Chalcogenide glass sensor; Cross sensitivity; Electronic tongue; Fuzzy logic; Multi component heavy metal solution

Indexed keywords

ANALYTES; BIOLOGICAL SENSORS; CHALCOGENIDE GLASS; CHALCOGENIDE GLASS SENSOR; CRISP CLASSIFICATION; CROSS-SENSITIVITY; ELECTRONIC TONGUE; ENVIRONMENTAL ANALYSIS; EXPECTED VALUES; FUZZY LOGIC METHOD; FUZZY-LOGICS; INDUSTRIAL PROCESSS; LOGIC METHOD; MULTI-COMPONENT HEAVY METAL SOLUTION; MULTICOMPONENTS; POTENTIOMETRIC MEASUREMENTS; SENSORY SIGNALS; SILICON-BASED; TRAINING SCENARIO; WATER IMPURITIES;

CHEMICAL SENSORS; FUZZY SETS; GLASS; HEAVY METALS; LOGIC PROGRAMMING; METAL IONS; METALS; TRACE ANALYSIS; TRACE ELEMENTS;

FUZZY LOGIC;

EID: 69249093025     PISSN: 00134686     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.electacta.2009.03.035     Document Type: Article

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