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====== Neural networks ====== | ====== Neural networks ====== | ||
- | - N. Valentin et T. Denoeux. Modélisation du procédé de coagulation en traitement d'eau potable à l'aide de réseaux de neurones artificiels In Actes des 14èmes Journées Information Eaux, Tome 1, pages 23-(1-11), Poitiers, 13-15 septembre 2000. | + | |
- | - T. J. Böhme, N. Valentin, C. S. Cox and T. Denoeux. Comparison of autoassociative neural networks and Kohonen maps for signal failure detection and reconstruction. In C. H. Dagli et al., editors, Intelligent Engineering Systems through Artificial Neural Networks 9 (Proc. of ANNIE' | + | |
- | - N. Valentin, F. Fotoohi and T. Denoeux. Modeling of coagulant dosing in a water treatment plant. Proc. of EANN' | + | |
- | - N. Valentin, T. Denoeux and F. Fotoohi. A hybrid neural network based system for optimization of coagulant dosing in a water treatment plant. Proceedings of IJCNN' | + | |
- | - N. Gong, T. Denoeux and J.-L. Bertrand-Krajewski. Assessment of neural networks for solid transport modeling in sewer systems. 7th International Conference on Urban Storm Drainage, volume 2, pages 869-874, Hannover, September 9-13, 1996. | + | |
- | - N. Gong, X. Ding, T. Denoeux, M. Clément and J.-L. Bertrand-Krajewski. Stormnet: A neural network model for flow and pollutant transport in sewer systems during wet weather. In Water Environment Federation Specialty Conference, Urban wet weather pollution : controlling sewer overflows and stormwater runoff, Quebec City, Canada, June 16-19, 1996. | + | |
- M. Karouia, T. Denoeux, and R. Lengellé. Influence of weight initialization on multilayer perceptron performance. In International Conference of Artificial Neural Networks (ICANN' | - M. Karouia, T. Denoeux, and R. Lengellé. Influence of weight initialization on multilayer perceptron performance. In International Conference of Artificial Neural Networks (ICANN' | ||
- | - T. Trautmann and T. Denoeux. Comparison of dynamic feature map models for environmental monitoring. In Proceedings of ICNN' | ||
- M. Karouia, T. Denoeux, and R. Lengellé. Performance analysis of a MLP weight initialization algorithm. In Third European Symposium on Artificial Neural Networks (ESANN' | - M. Karouia, T. Denoeux, and R. Lengellé. Performance analysis of a MLP weight initialization algorithm. In Third European Symposium on Artificial Neural Networks (ESANN' | ||
- | - N. Gong, T. Denoeux and J.-L. Bertrand-Krajewski. Neural networks for solid transport modeling in sewer systems during storm events. In Proceedings of the IAWQ Int. Conf. on sewer solids - Characteristics, | ||
- | - N. Gong, X. Ding, and T. Denoeux. Urban storm water pollution forecasting using recurrent neural networks. In A. B. Bulsari and S. Kallio (Eds), Engineering Applications of Artificial Neural Networks (Proc. of the International Conference EANN' | ||
- | - J. M. Boisseau, B. Monier, O. Lefèvre, T. Denoeux and X. Ding. Prévision de trafic autoroutier par réseaux de neurones artificiels. In Les Systèmes Intelligents dans les Entreprises, | ||
- | - T. Trautmann and T. Denoeux. A constructive algorithm for S.O.M. applied to water quality monitoring. In C. H. Dagli, B. R. Fernández, J. Ghosh, and R. T. S. Kumara, editors, Intelligent Engineering Systems through artificial neural networks Vol. 4, pages 17-22. ASME Press, New-York, 1994. | ||
- T. Trautmann and T. Denoeux. BungySOM: A constructive algorithm for self-organizing maps. In Neural Networks and their Applications, | - T. Trautmann and T. Denoeux. BungySOM: A constructive algorithm for self-organizing maps. In Neural Networks and their Applications, | ||
- M. Karouia, R. Lengellé, and T. Denoeux. Weight initialization in BP networks using discriminant analysis techniques. In Neural Networks and their Applications, | - M. Karouia, R. Lengellé, and T. Denoeux. Weight initialization in BP networks using discriminant analysis techniques. In Neural Networks and their Applications, | ||
- M. Karouia, R. Lengellé, and T. Denoeux. Performance comparison of two constructive algorithms for multilayer perceptrons. In C. H. Dagli, L. I. Burke, B. R. Fernandez, and J. Ghosh, editors, Intelligent Engineering Systems through artificial neural networks Vol. 3, pages 221-226. ASME Press, New-York, 1993. | - M. Karouia, R. Lengellé, and T. Denoeux. Performance comparison of two constructive algorithms for multilayer perceptrons. In C. H. Dagli, L. I. Burke, B. R. Fernandez, and J. Ghosh, editors, Intelligent Engineering Systems through artificial neural networks Vol. 3, pages 221-226. ASME Press, New-York, 1993. | ||
- | - X. Ding, T. Denoeux, and F. Helloco. Tracking rain cells in radar images using multilayer neural networks. In S. Gielen and B. Kappen, editors, Proceedings of ICANN' | ||
- T. Denoeux and R. Lengellé. Production rules generation and refinement in BP networks. In C. H. Dagli, L. I. Burke, and Y. C. Shin, editors, Intelligent Engineering Systems through artificial neural networks Vol. 2, pages 253-258. ASME Press, New-York, 1992. {{en: | - T. Denoeux and R. Lengellé. Production rules generation and refinement in BP networks. In C. H. Dagli, L. I. Burke, and Y. C. Shin, editors, Intelligent Engineering Systems through artificial neural networks Vol. 2, pages 253-258. ASME Press, New-York, 1992. {{en: | ||
- T. Denoeux. Generation of symbolic rules in back-propagation networks. In I. Aleksander and J. Taylor, editors, Artificial Neural Networks II, pages 711-714. North-Holland, | - T. Denoeux. Generation of symbolic rules in back-propagation networks. In I. Aleksander and J. Taylor, editors, Artificial Neural Networks II, pages 711-714. North-Holland, |