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- W2949978281 abstract "The work considers the method to enhance the blast furnace efficiency based on the self-organizing Kohonen neural networks for the cluster analysis of the process operating parameters. The developed method allows building the blast-furnace process characteristics considering their non-linear nature and interaction of controlling factors. The mathematical relations for basic performance characteristics of the blast-furnace process were obtained which are employed for calculating the controlling actions. The developed relations complement the existing methods for the blast furnace process designing based on actual operational data. The approach to developing the expert system based on the Kohonen neural networks was suggested allowing the blast furnace foreman to analuze the blast-furnace process condition and decide on its adjustment to improve the efficiency." @default.
- W2949978281 created "2019-06-27" @default.
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- W2949978281 date "2018-05-01" @default.
- W2949978281 modified "2023-09-26" @default.
- W2949978281 title "Enhancing Blast Furnace Control Efficiency Based on Self-Organizing Kohonen Neural Networks" @default.
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- W2949978281 doi "https://doi.org/10.1109/icieam.2018.8728725" @default.
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