Artificial neural networks

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 1Wydział Inżynierii Metali i Informatyki Przemysłowej, Akademia Górniczo-Hutnicza w Krakowie. 2Wydział Metali Nieżelaznych, Akademia Górniczo-Hutnicza w Krakowie. DOI: https://doi.org/10.7494/cmms.2007.2.0161 Abstract: The form of registered data (superimposed by the measurement noise) and the lack of some data (difficulties in … 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