Artificial neural networks

Modeling of the oxidizing roasting process of zinc sulphide concentrates using the artificial neural networks

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Modeling of the oxidizing roasting process of zinc sulphide concentrates using the artificial neural networks Łukasz Sztangret, Łukasz Rauch, Jan Kusiak, Piotr Jarosz, Stanisław Małecki AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Kraków, Poland. DOI: https://doi.org/10.7494/cmms.2011.1.0322 Abstract: The goal of the research is an attempt of development of automatic control system of … Read more

Applicability of decision trees in manufacturing industry

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Applicability of decision trees in manufacturing industry Marcin Perzyk, Robert Biernacki, Artur Soroczyński Warsaw University of Technology, Institute of Materials Processing, Narbutta 85, 02-524 Warszawa. DOI: https://doi.org/10.7494/cmms.2008.2.0189 Abstract: In manufacturing companies large amounts of data are collected and stored, related to designs, products, equipment, materials, manufacturing processes etc. Utilization of that data for improvement of … Read more

Filtering of industrial data using the artificial neural networks

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Filtering of industrial data using the artificial neural networks Andrzej Stanisławczyk1, Jolanta Talar1, Piotr Jarosz2, Jan Kusiak1 1Faculty of Metals Engineering and Industrial Computer Science, AGH University of Science and Technology.2Faculty of Non-Ferrous Metals, AGH University of Science and Technology. DOI: https://doi.org/10.7494/cmms.2007.2.0161 Abstract: The form of registered data (superimposed by the measurement noise) and the … Read more

The use of an artificial neural network to estimate tool costs in cold roll-forming processes

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The use of an artificial neural network to estimate tool costs in cold roll-forming processes Anthony Downes, Peter Harley Department of Mechanical Engineering, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK. DOI: https://doi.org/10.7494/cmms.2006.3.0173 Abstract: The cold roll-forming industry is extremely competitive and the majority of work tenders that are submitted are unsuccessful. There are several … Read more

Comparison of statistical and neural networks-based methods in analysis of significance and interaction of manufacturing processes parameters

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Comparison of statistical and neural networks-based methods in analysis of significance and interaction of manufacturing processes parameters Marcin Perzyk, Jacek Kozłowski Warsaw University of Technology. DOI: https://doi.org/10.7494/cmms.2006.2.0100 Abstract: Due to development of computer techniques, large amounts of data are collected and stored in many manufacturing companies, related to designs, products, equipment, materials, manufacturing processes etc. … Read more

Filtering of the experimental data using the wavelet analysis and the artifacial neural networks

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Filtering of the experimental data using the wavelet analysis and the artifacial neural networks Jolanta Talar, Łukasz Rauch, Jan Kusiak AGH University of Science and Technology. DOI: https://doi.org/10.7494/cmms.2003.3.0046 Abstract: The analysis of experimental measurements is sometimes difficult, if the registered data are superimposed be noisy signals. The source of such noise is often the improper … Read more