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Using Multilayer Perceptrons asmeans to predict the end-pointtemperature in an Electric ArcFurnace
KTH, School of Industrial Engineering and Management (ITM), Materials Science and Engineering, Materials Processing.
2015 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Place, publisher, year, edition, pages
2015. , 71 p.
Keyword [en]
Eletric Arc Furnace, Multilayer Perceptron, ANN, Steel Temperature, End-Point Temperature
National Category
Metallurgy and Metallic Materials
Identifiers
URN: urn:nbn:se:kth:diva-182288OAI: oai:DiVA.org:kth-182288DiVA: diva2:904219
Subject / course
Materials Processing
Educational program
Master of Science in Engineering - Materials Design and Engineering
Presentation
2015-12-11, Säfström, Brinellvägen 23, Stockholm, 10:00 (English)
Supervisors
Examiners
Available from: 2016-09-16 Created: 2016-02-18 Last updated: 2016-09-16Bibliographically approved

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Type fulltextMimetype application/pdf

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