Combining in situ flow cytometry and artificial neural networks for aquatic systems monitoring

Expert Systems with Applications

Volumn 38, Issue 8, 2011, Pages 9626-9632

  Pereira, G C ^a   Ebecken, N F F ^a  

^a FEDERAL UNIVERSITY OF RIO DE JANEIRO   (Brazil)

Author keywords

Neural networks; Pattern recognition; Phytoplankton monitoring; Real time identification; Scanning flow cytometry

Indexed keywords

FLOW CYTOMETRY; NEURAL NETWORKS; PHYTOPLANKTON; RADIAL BASIS FUNCTION NETWORKS; STATISTICAL TESTS;

ARTIFICIAL NEURAL NETWORK MODELS; BIOLOGICAL VARIATION; ENVIRONMENTAL PARAMETER; NATURAL ENVIRONMENTS; RADIAL BASIS FUNCTION NEURAL NETWORKS; REAL-TIME IDENTIFICATION; SCANNING FLOW CYTOMETRIES; SPECIALIZED NETWORKS;

PATTERN RECOGNITION;

EID: 79953706269     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.01.140     Document Type: Article

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