Data-driven prediction model for adjusting burden distribution matrix of blast furnace based on improved multilayer extreme learning machine
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DOI: 10.1007/s00500-018-3153-6
Abstract: Reasonable burden distribution matrix is one of important requirements that can realize low consumption, high efficiency, high quality and long campaign life of the blast furnace. This paper proposes a data-driven prediction model of adjusting… read more here.
Keywords: elm; data driven; model; prediction ... See more keywords
Medical rolling bearing fault prognostics based on improved extreme learning machine
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DOI: 10.1007/s10878-019-00494-y
Abstract: The problem studied in this article:the random selection of the input weight and the implicit layer bias of the extreme learning machine leads to the instability of the medical rolling bearing fault prediction result of… read more here.
Keywords: fault; learning machine; bearing fault; eem elm ... See more keywords