DocumentCode
2350817
Title
Techniques for neural network identification of phytoplankton for the EurOPA flow cytometer
Author
Boddy, L. ; Wilkins, M.F. ; Morris, C.W. ; Tarran, G.A. ; Burkill, P.H. ; Jonker, R.R.
Author_Institution
Sch. of Pure & Applied Biol., Univ. of Wales Coll. of Cardiff, UK
Volume
1
fYear
1994
fDate
13-16 Sep 1994
Abstract
The EurOPA instrument is a purpose-built marine flow cytometer to be taken to sea for rapid analysis of seawater samples for phytoplankton content. To take advantage of the potentially high rate of data capture, neural network classifiers will be incorporated into the package to provide an integrated approach to plankton analysis
Keywords
aquaculture; biological techniques; geophysical signal processing; neural nets; oceanographic techniques; pattern classification; EurOPA flow cytometer; biophysical measurement technique; classifier; geophysics computing; instrument; marine biology; monitoring; neural net; neural network identification; ocean; optical method; phytoplankton; plankton; sea; seawater sample; signal processing; Artificial neural networks; Biology computing; Fluorescence; Image motion analysis; Instruments; Marine vegetation; Neural networks; Optical scattering; Particle measurements; Sea measurements;
fLanguage
English
Publisher
ieee
Conference_Titel
OCEANS '94. 'Oceans Engineering for Today's Technology and Tomorrow's Preservation.' Proceedings
Conference_Location
Brest
Print_ISBN
0-7803-2056-5
Type
conf
DOI
10.1109/OCEANS.1994.363967
Filename
363967
Link To Document