Support vector machines for identifying organisms - A comparison with strongly partitioned radial basis function networks

Ecological Modelling

Volumn 146, Issue 1-3, 2001, Pages 57-67

  Morris, Colin W ^a   Autret, Arnaud ^a   Boddy, Lynne ^b  

^a UNIVERSITY OF GLAMORGAN   (United Kingdom)

^b CARDIFF UNIVERSITY   (United Kingdom)

Author keywords

Flow cytometry; Phytoplankton; Radial basis function neural networks; Support vector machines

Indexed keywords

ARTIFICIAL NEURAL NETWORK; FLOW CYTOMETRY; IDENTIFICATION METHOD; PHYTOPLANKTON;

EID: 0035676247     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0304-3800(01)00296-4     Document Type: Article

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