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Self-organizing maps (SOM) have been successfully applied in many fields of research. In this paper, we demonstrate the use of a neural-network-based tool for a data analysis in fluidized bed energy plants. The software is based on self-organizing maps. Reference vectors of SOMs can be classified by K-means algorithm into clusters, which represented(More)
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