Data Mining on Source Water Quality (Tianjin, China) for Forecasting Algae Bloom Based on Artificial Neural Network (ANN).
Jinsuo LuTinglin HuangChunyan WangPublished in: CSIE (7) (2009)
Keyphrases
- artificial neural networks
- water quality
- data mining
- neural network
- feed forward artificial neural networks
- water treatment
- back propagation
- ann models
- quality management
- measured data
- suzhou river
- predictive model
- using artificial neural networks
- short term
- recurrent neural networks
- genetic algorithm
- considerable increase
- water resources
- rough sets
- radial basis function
- neural network model
- hybrid model
- knowledge discovery
- data mining techniques
- data warehouse
- feed forward neural networks
- input variables
- association rules
- application of artificial neural networks
- dissolved oxygen
- real time
- genetic algorithm ga
- feed forward
- bp neural network
- activation function
- grey relational analysis
- evolutionary artificial neural networks
- data mining algorithms
- data analysis
- multilayer perceptron
- neural nets
- forecasting accuracy
- support vector regression
- hong kong
- multi layer perceptron
- short term load forecasting
- long term
- fuzzy logic