The cascade-correlation learning architecture
Advances in neural information processing systems 2
Advances in intelligent systems
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Forecast of total nitrogen in wastewater treatment plants by means techniques of soft computing
ICS'08 Proceedings of the 12th WSEAS international conference on Systems
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The water quality at the issue of a wastewater treatment plant (WWTP) is a complex work because of its complexity and variability when conditions suddenly change. Two main techniques has been used to improve classical feed-forward neural network. First, a classical adaptative gradient learning rule has been complemented with a Kalman learning rule which is especially effective for noisy behavioral problems. Second, two independent variable selection components -based on genetic algorithms and fuzzy ranking- have been implemented to try to improve performance and generalization. The global study shows that reliable results are obtained which permit to guarantee that neural networks are a confidence tool on this subject.