Nonparametric discriminant analysis of phytoplankton species using data from analytical flow cytometry
نویسندگان
چکیده
منابع مشابه
Identification of phytoplankton from flow cytometry data by using radial basis function neural networks.
We describe here the application of a type of artificial neural network, the Gaussian radial basis function (RBF) network, in the identification of a large number of phytoplankton strains from their 11-dimensional flow cytometric characteristics measured by the European Optical Plankton Analyser instrument. The effect of network parameters on optimization is examined. Optimized RBF networks rec...
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ژورنال
عنوان ژورنال: Cytometry
سال: 2002
ISSN: 0196-4763,1097-0320
DOI: 10.1002/cyto.10103