Abstract
In this article we have presented a model used for a classification of multidimensional data in a broader sense, called Braun’s cathode machine. The internal structure of the machine presented on this paper has been based on the architecture of a cathode-ray tube – Braun’s tube. For a machine model described this way a machine training algorithm has been proposed as well as response computing algorithms. In the final chapter we have presented the results of the machine tests for the notions connected with the classification and self-organization of multidimensional data.
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Swiecicki, M. (2009). An Algorithm Based on the Construction of Braun’s Cathode Ray Tube as a Novel Technique for Data Classification. In: Leung, C.S., Lee, M., Chan, J.H. (eds) Neural Information Processing. ICONIP 2009. Lecture Notes in Computer Science, vol 5864. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10684-2_79
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DOI: https://doi.org/10.1007/978-3-642-10684-2_79
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10682-8
Online ISBN: 978-3-642-10684-2
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