Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/29658
Type: Book chapter
Title: Prediction and elucidation of population dynamics of the blue-green algae Microcystis aeruginosa and the diatom Stepanodiscus hantzschii in the Nakdong River-reservoir system (South Korea) by a recurrent artificial neural network
Author: Jeong, K.
Recknagel, F.
Joo, G.
Citation: Ecological informatics - understanding ecology by biologically-inspired computation, 2003 / Friedrich Recknagel, (ed./s), pp.195-213
Publisher: Springer-Verlag
Publisher Place: Berlin, Heidelberg, New York
Issue Date: 2003
ISBN: 3540434550
Editor: Friedrich Recknagel,
Statement of
Responsibility: 
K.-S. Jeong; F. Recknagel; G.-J. Joo
Description: Originally published as Chapter 10 in the 1st edition, this chapter appears unchanged in the 2nd edition as Chapter 12.
Appears in Collections:Aurora harvest 6
Earth and Environmental Sciences publications
Environment Institute publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.