Self-organization of nets of active neurons
Systems Analysis Modelling Simulation
Predicting Chemical Parameters of River Water Quality from Bioindicator Data
Applied Intelligence
Simultaneous Prediction of Mulriple Chemical Parameters of River Water Quality with TILDE
PKDD '99 Proceedings of the Third European Conference on Principles of Data Mining and Knowledge Discovery
FSfRT: Forecasting System for Red Tides
Applied Intelligence
Extended fuzzy regression models using regularization method
Information Sciences—Informatics and Computer Science: An International Journal
Fuzzy nonparametric regression based on local linear smoothing technique
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
A split-step PSO algorithm in prediction of water quality pollution
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
This study explores the possibility of using adaptive filters to predict sea-water quality indicators such as water temperature, pH and dissolved oxygen based on measurements produced by an under-water measurement set-up. Two alternative adaptive approaches are tested, namely a projection algorithm and a least squares algorithm. These algorithms were chosen for comparison because they are widely used prediction algorithms. The results indicate that if the measurements remain reasonably stationary, it is possible to make one-day ahead predictions, which perform better than the prediction that the value of a certain quality variable tomorrow is going to be equal to the value today.