Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/28311
Type: | Conference paper |
Title: | Use of recurrent neural networks and hybrid evolutionary algorithms for the prediction of phytoplankton abundance and succession before and after eutrophication control of two shallow lakes |
Author: | Talib, A. Recknagel, F. Cao, H. van der Molen, D. |
Citation: | Proceedings of the international congress on modelling and simulation, 12 December, 2005 |
Publisher: | Modelling & Simulation Society of Australia & New Zealand Inc. |
Publisher Place: | http://mssanz.org.au/modsim05/papers/talib.pdf |
Issue Date: | 2005 |
ISBN: | 0975840002 |
Conference Name: | International Congress on Modelling and Simulation (16th : 2005 : Melbourne, Victoria) |
Editor: | Zerger, A. Argent, R. |
Appears in Collections: | Aurora harvest 2 Earth and Environmental Sciences publications Environment Institute publications |
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