Use of artificial neural networks for predicting optimal alum doses and treated water quality parameters.
Holger R. MaierNicolas MorganChristopher W. K. ChowPublished in: Environ. Model. Softw. (2004)
Keyphrases
- water quality
- artificial neural networks
- measured data
- water treatment
- optimal solution
- parameter estimation
- back propagation
- neural network
- computational intelligence
- parameter settings
- genetic algorithm
- suzhou river
- single parameter
- dynamic programming
- sensitivity analysis
- input variables
- fuzzy logic
- using artificial neural networks
- optimal parameters
- closed form
- genetic algorithm ga
- quality management
- water resources
- evolutionary algorithm
- radial basis function
- water level
- scaling factors
- operating conditions
- fuzzy systems
- multilayer perceptron
- neural network model