Conjugate gradient algorithm for efficient training of artificial neural networks, IEEE Proceedings, vol.139, pp.301-310, 1992. ,
L'analyse factorielle : analyse en composantes principales et analyse des correspondances, 1983. ,
Les boues industrielles : traitements et valorisation, 1995. ,
Activated sludge treatment of industrial wastewater, 1995. ,
Estimating wastewater BOD 5 and ammonia using simple on-line operational data by applying neural networks -A case study over the simulation benchmark WWTP layout, First International NAISO Symposium on Information Technologies in Environmental Engineering, 2003. ,
Training feedforward networks with the Marquardt algorithm, Training feedforward networks with the Marquardt algorithm, pp.989-993, 1994. ,
DOI : 10.1109/72.329697
Introduction to the theory of neural computation, computation and neural systems series, 1991. ,
Multilayer feedforward networks are universal approximators, Neural Networks, vol.2, issue.5, pp.359-366, 1989. ,
DOI : 10.1016/0893-6080(89)90020-8
Data clustering: a review, ACM Computing Surveys, vol.31, issue.3, pp.264-323, 1999. ,
DOI : 10.1145/331499.331504
Efficient Training of Feed-Forward Neural Networks, DAIMI Report Series, vol.22, issue.464, 1993. ,
DOI : 10.7146/dpb.v22i464.6937
Comment interpréter les résultats d'une analyse en composantes principales, 1986. ,
The Perceptron : a Perceiving and Recognizing Automaton, 1957. ,
Two Strategies to Avoid Overfitting in Feedforward Networks, Neural Networks, vol.10, issue.3, pp.505-516, 1997. ,
DOI : 10.1016/S0893-6080(96)00086-X