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Volumn 783, Issue , 2013, Pages 56-64
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Feasibility of the use of disposable optical tongue based on neural networks for heavy metal identification and determination
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Author keywords
Artificial neural networks; Disposable optical array; Heavy metals classification; Heavy metals determination
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Indexed keywords
1-(2-PYRIDYLAZO)-2-NAPHTHOL;
CHROMOGENIC REAGENTS;
CLASSIFICATION PROCEDURE;
OPTICAL ARRAYS;
PRECISE MEASUREMENTS;
SIMULTANEOUS IDENTIFICATION;
TRANSMISSION MODE;
TWO-STAGE APPROACHES;
COLOR;
HEAVY METALS;
METAL IONS;
NEURAL NETWORKS;
STATISTICAL TESTS;
ZINC COMPOUNDS;
COPPER;
1 PYRID 2 YLAZO 2 NAPHTHOL;
CHROMOGENIC SUBSTRATE;
CUPRIC ION;
HEAVY METAL;
HYDROGEN;
NICKEL;
UNCLASSIFIED DRUG;
ZINC ION;
ZINCON;
ANALYTICAL ERROR;
ANALYTICAL PARAMETERS;
ARTICLE;
ARTIFICIAL NEURAL NETWORK;
CHEMICAL ANALYSIS;
COLOR;
COMPLEX FORMATION;
CONCENTRATION (PARAMETERS);
CORRELATION ANALYSIS;
DISPOSABLE EQUIPMENT;
EQUILIBRIUM CONSTANT;
EXTRACTION;
FEASIBILITY STUDY;
IMMOBILIZATION;
MEMBRANE POTENTIAL;
OPTICAL TONGUE;
PRIORITY JOURNAL;
STATISTICAL ANALYSIS;
CHEMISTRY TECHNIQUES, ANALYTICAL;
DISPOSABLE EQUIPMENT;
FEASIBILITY STUDIES;
MEMBRANES, ARTIFICIAL;
METALS, HEAVY;
NEURAL NETWORKS (COMPUTER);
SOLUTIONS;
SIMPLEXVIRUS;
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EID: 84878375989
PISSN: 00032670
EISSN: 18734324
Source Type: Journal
DOI: 10.1016/j.aca.2013.04.035 Document Type: Article |
Times cited : (25)
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References (28)
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