The estimation of product standard time by artificial neural networks in the molding industry

DOI10.1155/2009/527452zbMath1180.62200OpenAlexW2028234337WikidataQ58649391 ScholiaQ58649391MaRDI QIDQ1036382

Ergün Eraslan

Publication date: 13 November 2009

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://eudml.org/doc/45858

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Neural nets and related approaches to inference from stochastic processes (62M45)

Cites Work

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• A methodology for forecasting knowledge work projects
• Accelerating the generation of work measurement standards through automatic speech recognition: A laboratory study
• Prediction of die casting process parameters by using an artificial neural network model for zinc alloys
• Learning representations by back-propagating errors

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