Neural networks

Fundamentals of a recommendation system for the aluminum extrusion process based on data-driven modeling

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Fundamentals of a recommendation system for the aluminum extrusion process based on data-driven modeling Marcin Perzyk, Andrzej Kochański, Jacek Kozłowski Warsaw University of Technology, Institute of Materials Processing, Warsaw, Poland. DOI: https://doi.org/10.7494/cmms.2022.4.0782 Abstract: The aluminum profile extrusion process is briefly characterized in the paper, together with the presentation of historical, automatically recorded data. The initial … Read more

Optimization of hopper design by genetic algorithms

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Optimization of hopper design by genetic algorithms Yaowei Yu, Frank Pettersson, Henrik Saxén Thermal and Flow Engineering Laboratory, Department of Chemical Engineering,Åbo Akademi University, Biskopsg. 8, FI-20500 Åbo, Finland. DOI: https://doi.org/10.7494/cmms.2011.1.0308 Abstract: In the handling of particulate matters, hoppers are frequently used as intermediate storage, but during their filling and emptying, particle size segregation may … Read more

Neural network-based prediction of additives in the steel refinement process

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Neural network-based prediction of additives in the steel refinement process Tadeusz Wieczorek1, Mirosław Kordos2 1Department of Management and Computer Science, Faculty of Material Engineering and Metallurgy, The Silesian University of Technology, Krasinskiego 8, 40-019 Katowice, Poland. 2Department of Mathematics and Computer Science, University of Bielsko-Biala, Willowa 2, 43-309 Bielsko-Biala, Poland. DOI: https://doi.org/10.7494/cmms.2010.1.0272 Abstract: The paper … Read more

A sensitivity analysis on artificial neural networks fracture predictions in sheet metal forming operations

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A sensitivity analysis on artificial neural networks fracture predictions in sheet metal forming operations Rosa Di Lorenzo, Giuseppe Ingarao, Fabrizio Micari Università di Palermo, Dipartimento di Tecnologia Meccanica, Produzione e Ingegneria Gestionale,,viale delle Scienze 90128, Palermo, Italy. DOI: https://doi.org/10.7494/cmms.2008.2.0188 Abstract: In the last years the investigation of formability limits in sheet metal forming operations was … Read more

Intelligent control of the electric – arc steelmaking process using artificial neural networks

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Intelligent control of the electric – arc steelmaking process using artificial neural networks Tadeusz Wieczorek Division of Engineering Informatics, Department of Electrotechnology, The Silesian University of Technology. DOI: https://doi.org/10.7494/cmms.2006.1.0105 Abstract: Development of computational intelligence allows to combine some conventional approaches with artificial intelligence modules, like Artificial Neural Networks (ANNs). The combination leads to so-called Intelligent … Read more