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Friedrich Recknagel
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Year
Artificial neural network approach for modelling and prediction of algal blooms
F Recknagel, M French, P Harkonen, KI Yabunaka
Ecological Modelling 96 (1-3), 11-28, 1997
4421997
Applications of machine learning to ecological modelling
F Recknagel
Ecological Modelling 146 (1-3), 303-310, 2001
3012001
Calcite precipitation as a natural control mechanism of eutrophication
R Koschel, J Benndorf, G Proft, F Recknagel
Archiv fur hydrobiology 98 (3), 1983
2371983
ANNA–Artificial Neural Network model for predicting species abundance and succession of blue-green algae
F Recknagel
Hydrobiologia 349, 47-57, 1997
1611997
In situ removal of dissolved phosphorus in irrigation drainage water by planted floats: preliminary results from growth chamber experiment
L Wen, F Recknagel
Agriculture, ecosystems & environment 90 (1), 9-15, 2002
1602002
Prediction and elucidation of phytoplankton dynamics in the Nakdong River (Korea) by means of a recurrent artificial neural network
KS Jeong, GJ Joo, HW Kim, K Ha, F Recknagel
Ecological Modelling 146 (1-3), 115-129, 2001
1252001
Ecological informatics: understanding ecology by biologically-inspired computation. 1st Edition
F Recknagel
Springer Science & Business Media, 2002
1202002
Assessing SWAT models based on single and multi-site calibration for the simulation of flow and nutrient loads in the semi-arid Onkaparinga catchment in South Australia
MK Shrestha, F Recknagel, J Frizenschaf, W Meyer
Agricultural Water Management 175, 61-71, 2016
1172016
Response of stream macroinvertebrates to changes in salinity and the development of a salinity index
N Horrigan, S Choy, J Marshall, F Recknagel
Marine and Freshwater Research 56 (6), 825-833, 2005
1142005
Towards a generic artificial neural network model for dynamic predictions of algal abundance in freshwater lakes
H Wilson, F Recknagel
Ecological Modelling 146 (1-3), 69-84, 2001
1032001
Problems of application of the ecological model SALMO to lakes and reservoirs having various trophic states
J Benndorf, F Recknagel
Ecological Modelling 17 (2), 129-145, 1982
1011982
Comparative application of artificial neural networks and genetic algorithms for multivariate time-series modelling of algal blooms in freshwater lakes
F Recknagel, J Bobbin, P Whigham, H Wilson
Journal of Hydroinformatics 4 (2), 125-133, 2002
792002
Inductive reasoning and forecasting of population dynamics of Cylindrospermopsis raciborskii in three sub-tropical reservoirs by evolutionary computation
F Recknagel, PT Orr, H Cao
Harmful Algae 31, 26-34, 2014
702014
Modelling the impacts of altered management practices, land use and climate changes on the water quality of the Millbrook catchment reservoir system in South Australia
HH Nguyen, F Recknagel, W Meyer, J Frizenschaf, M Shrestha
Journal of Environmental Management 202, 2017
692017
Prediction and elucidation of population dynamics of the blue-green algaeMicrocyati aeruginosa and the diatom Stephanodiscus hantzschii in the nakdong river-reservoir system …
KS Jeong, F Recknagel, GJ Joo
Ecological Informatics. Scope, Techniques and Applications, 255-273, 2006
692006
Future climate and land uses effects on flow and nutrient loads of a Mediterranean catchment in South Australia
MK Shrestha, F Recknagel, J Frizenschaf, W Meyer
Science of the total environment 590, 186-193, 2017
652017
Online forecasting chlorophyll a concentrations by an auto-regressive integrated moving average model: Feasibilities and potentials
Q Chen, T Guan, L Yun, R Li, F Recknagel
Harmful Algae 43, 58-65, 2015
642015
Elucidation and short-term forecasting of microcystin concentrations in Lake Suwa (Japan) by means of artificial neural networks and evolutionary algorithms
WS Chan, F Recknagel, H Cao, HD Park
Water Research 41 (10), 2247-2255, 2007
642007
Predicting eutrophication effects in the Burrinjuck Reservoir (Australia) by means of the deterministic model SALMO and the recurrent neural network model ANNA
M Walter, F Recknagel, C Carpenter, M Bormans
Ecological Modelling 146 (1-3), 97-113, 2001
612001
Biomanipulation: a review of biological control measures in eutrophic waters and the potential for Murray cod Maccullochella peelii peelii to promote water quality …
MT Sierp, JG Qin, F Recknagel
Reviews in fish biology and fisheries 19, 143-165, 2009
602009
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