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Volumn 24, Issue 4, 2008, Pages 958-962
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Resolution of binary mixtures of microorganisms using electrochemical impedance spectroscopy and artificial neural networks
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Author keywords
Artificial neural networks; Electrochemical impedance spectroscopy; Microbial binary mixtures resolution
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Indexed keywords
ARTIFICIAL NEURAL NETWORKS;
BACK-PROPAGATION NEURAL NETWORKS;
CAPACITIVE ELEMENTS;
CORRELATION CO-EFFICIENT;
ELECTRICAL EQUIVALENT CIRCUIT;
EXPECTED VALUES;
EXTERNAL-;
GRAM-NEGATIVE BACTERIA;
GRAM-POSITIVE BACTERIA;
HIDDEN LAYERS;
MICROBIAL BINARY MIXTURES RESOLUTION;
OPTIMAL CONFIGURATIONS;
PSEUDOMONAS AERUGINOSA;
SACCHAROMYCES CEREVISIAE;
STAPHYLOCOCCUS AUREUS;
TEST SAMPLES;
TRAINING PROCESSES;
ARTIFICIAL INTELLIGENCE;
BACKPROPAGATION;
BACTERIA;
BACTERIOLOGY;
BINARY MIXTURES;
CORRELATION METHODS;
DATA PROCESSING;
ELECTRIC FAULT LOCATION;
ELECTROCHEMICAL CORROSION;
ELECTROCHEMICAL IMPEDANCE SPECTROSCOPY;
FORECASTING;
LIGHTNING;
MICROBIOLOGY;
MICROORGANISMS;
MIXTURES;
NEURONS;
TRANSFER FUNCTIONS;
NEURAL NETWORKS;
ARTICLE;
ARTIFICIAL NEURAL NETWORK;
CORRELATION COEFFICIENT;
ELECTROCHEMICAL IMPEDANCE SPECTROSCOPY;
GRAM NEGATIVE BACTERIUM;
GRAM POSITIVE BACTERIUM;
IMPEDANCE;
MICROORGANISM;
NERVE CELL;
NONHUMAN;
PSEUDOMONAS AERUGINOSA;
SACCHAROMYCES CEREVISIAE;
STAPHYLOCOCCUS AUREUS;
YEAST;
ALGORITHMS;
BACTERIA;
BIOSENSING TECHNIQUES;
COLONY COUNT, MICROBIAL;
COMPLEX MIXTURES;
ELECTRIC IMPEDANCE;
ELECTROCHEMISTRY;
EQUIPMENT DESIGN;
EQUIPMENT FAILURE ANALYSIS;
FUNGI;
NEURAL NETWORKS (COMPUTER);
REPRODUCIBILITY OF RESULTS;
SENSITIVITY AND SPECIFICITY;
NEGIBACTERIA;
POSIBACTERIA;
PSEUDOMONAS AERUGINOSA;
SACCHAROMYCES CEREVISIAE;
STAPHYLOCOCCUS AUREUS;
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EID: 67549117743
PISSN: 09565663
EISSN: None
Source Type: Journal
DOI: 10.1016/j.bios.2008.07.050 Document Type: Article |
Times cited : (11)
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References (28)
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