Contact and support
Need help, have a question, or want to contact the ResearchHub team?
© 2026 ResearchHub. Built for responsible scholarly connection.
Privacy-aware community infrastructureResearch graph
References from River phytoplankton prediction model by Artificial Neural Network: Model performance and selection of input variables to predict time-series phytoplankton proliferations in a regulated river system. Local targets link to admitted publications; unresolved targets remain external evidence.
A comparison of Artificial Neuronal Network and conventional statistical techniques for analyzing environmental data
2000 · External reference
A genetic algorithm to obtain the optimal recurrent neural network
10.1016/s0888-613x(99)00032-8 · 2000 · External reference
ELMO, a 3-D water quality model for nutrients and chlorophyll: first application on a lacustrine ecosystem
10.1016/s0304-3800(00)00434-8 · 2001 · External reference
Patternizing communities by using an Artificial Neural Network
10.1016/0304-3800(95)00148-4 · 1996 · External reference
Effects of flow regulation and sediment flushing on instream habitat and benthic invertebrates in a New Zealand river influenced by a volcanic eruption
10.1002/rra.666 · 2002 · External reference
An introduction to machine learning methods
1999 · External reference
Review and comparison of methods to study the contribution of variables in Artificial Neural Network models
10.1016/s0304-3800(02)00257-0 · 2003 · External reference
A comparison of self-organizing map algorithm and some conventional statistical methods for ecological community ordination
10.1016/s0304-3800(01)00324-6 · 2001 · External reference
Ecological effects of flow regulation on macroinvertebrate and periphytic diatom assemblages in the Hawkesbury-Nepean River, Australia
10.1002/rrr.622 · 2001 · External reference
A framework for uncertainty assessment of mechanistic forest growth models: a neural network example
10.1016/s0304-3800(96)01936-9 · 1997 · External reference
The phytoplankton succession in the lower part of hypertrophic Nakdong River (Mulgum), S. Korea
10.1023/a:1017067809089 · 1998 · External reference
Microcystis bloom in the lower Nakdong River in South Korea: Development of the 1994 summer bloom
10.1071/mf97039 · 1999 · External reference
A general dynamic model to predict biomass and production of phytoplankton in lakes
10.1016/s0304-3800(03)00096-6 · 2003 · External reference
Prediction of water quality in lakes and reservoirs: Part I. Model description
10.1016/s0304-3800(96)00062-2 · 1997 · External reference
Neural network modeling of salinity variation in Apalachicola River
10.1016/s0043-1354(01)00195-6 · 2002 · External reference
Prediction and elucidation of phytoplankton dynamics in the lower Nakdong River (Korea) by means of an Artificial Neural Network
10.1016/s0304-3800(01)00300-3 · 2001 · External reference
Prediction and elucidation of population dynamics of the blue–green algae Microcystis aeruginosa and Stephanodiscus hantzschii in the Nakdong river-reservoir system (South Korea) by Artificial Neural Networks
2003 · External reference
Machine learning application to the Korean freshwater ecosystems
10.5141/jefb.2005.28.6.405 · 2005 · External reference
Summer cyanobacterial blooms in the lower Nakdong River: pattern cognition by the Self-Organizing Map
2005 · External reference
Long-term trend of the eutrophication of the lower Nakdong River
1997 · External reference
Unresolved reference
1997 · External reference
A new approach to mathematical water quality modeling in reservoirs: neural networks
1998 · External reference
Eutrophication of the lower Nakdong River after the construction of an estuarine dam in 1987
1998 · External reference
Neural network modelling of coastal algal blooms
10.1016/s0304-3800(02)00281-8 · 2003 · External reference
Application of neural networks to modelling nonlinear relationships in ecology
10.1016/0304-3800(95)00142-5 · 1996 · External reference
The simulation of an Australian reservoir using a phytoplankton community model: PROTECH
10.1016/s0304-3800(01)00466-5 · 2002 · External reference
Flow management strategies to control blooms of the cyanobacterium, Anabaena circinalis, in the River Murray at Morgan, South Australia
10.1002/rrr.623 · 2001 · External reference
Forecasting cyanobacterium Anabaena spp. in the River Murray, South Australia, using B-spline neurofuzzy models
10.1016/s0304-3800(01)00298-8 · 2001 · External reference
Unresolved reference
1988 · External reference
pH modelling by neural networks: application of control and validation data series in the Middle Loire River
10.1016/s0304-3800(99)00098-8 · 1999 · External reference
A new assessment of European forests carbon exchanges by eddy fluxes and Artificial Neural Network spatialization
10.1046/j.1365-2486.2003.00609.x · 2003 · External reference
Advances in neural network modeling of phytoplankton primary production
10.1016/s0304-3800(01)00294-0 · 2001 · External reference
Unresolved reference
1991 · External reference
Evolving structure-optimizing content
2001 · External reference
Modelling algal behaviour in the River Thames
10.1016/0043-1354(84)90244-6 · 1984 · External reference
Estimation of algal biological parameters using water quality modeling and SPOT satellite data
10.1016/s0304-3800(99)00065-4 · 2000 · External reference
Evolving Artificial Neural Networks
1999 · External reference
Evolving neural networks for chlorophyll-a prediction
2001 · External reference
