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.
Kwang-Seuk JeongDong-Kyun KimGea-Jae JooPublished in: Ecol. Informatics (2006)
Keyphrases
- neural network model
- input variables
- prediction model
- neural network
- bp neural network
- forecasting accuracy
- artificial neural networks
- exponential smoothing
- bp network
- water quality
- ls svm
- back propagation neural network
- regression model
- network architecture
- variable selection
- hidden neurons
- number of input variables
- fuzzy neural network
- multilayer perceptron
- wavelet neural network
- rbf neural network
- multiple linear regression
- multi layer perceptron
- knowledge discovery
- generalization ability
- forecasting model
- water level
- computational intelligence
- back propagation
- recurrent neural networks