A case study of using radial basis function neural networks for predicting material properties from Barkhausen noise signal

Aki Sorsa, Suvi Santa-aho, Minnamari Vippola, Toivo Lepistö, Kauko Leiviskä

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientific

    Translated title of the contributionA case study of using radial basis function neural networks for predicting material properties from Barkhausen noise signal
    Original languageEnglish
    Title of host publicationProceedings of 18th Nordic Process Control Workshop, 22-23 August 2013, Oulu, Finland
    EditorsJenõ Kovács, Matias Hultgren
    Place of PublicationOulu
    PublisherUniversity of Oulu
    Pages1-6
    Number of pages6
    Publication statusPublished - 2013
    Publication typeB3 Article in conference proceedings

    Publication series

    NameNordic Process Control Workshop

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