Soft Computing Applications in Mineral and Metal Industries

Author:

Leiviskä Kauko

Publisher

Physica-Verlag HD

Reference77 articles.

1. Alaraasakka, M., Leiviskä, K., Seppänen, M. (1998): Neural network based classification of blast furnace gas distribution. In: Proceedings TOOLMET ‘88 Symposium — Tool environments and development methods for intelligent systems. Control Engineering Laboratory, University of Oulu, Oulu, pp. 40–44

2. Aldrich, C., van Deventer, J.S.C. (1994): The use of connectionist systems to reconcile inconsistent process data. The Chemical Engineering Journal 54, 125–135

3. Aldrich, C., yen Deventer, J.S.C. (1995): Comparison of different artificial neural nets for detection and location of gross errors in process. Ind. Eng. Chem. Res. 34, 216–224

4. Angstenberger, J. (1996): Blast furnace analysis with neural networks. In: Bulsari, A.B. (ed.): International Conference on Engineering Applications of Neural Networks Proceedings (EANN ‘86), London, UK, 37–40

5. Bartolacci, G., Bouajila, A. (2000): Application of multivariable tools to mineral processing data analysis and modelling: Flotation case. In: Jämsä-Jounela, S.-L., Vapaavuori, E. (eds.): Future Trends in Automation in Mineral and Metal Processing, IFAC Workshop Preprints. Finnish Society of Automation, Helsinki, pp. 188–193

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