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Description
  • In this paper, an extension to complex-valued self-organizing map is presented. It uses amplitude and phase of complex numbers instead of real and imaginary part. This adjustment requires new methods to find best matching unit and to update neuron weights. Both methods are presented in this paper as well as tested on artificial data of hand-written characters.
  • In this paper, an extension to complex-valued self-organizing map is presented. It uses amplitude and phase of complex numbers instead of real and imaginary part. This adjustment requires new methods to find best matching unit and to update neuron weights. Both methods are presented in this paper as well as tested on artificial data of hand-written characters. (en)
Title
  • Complex-Valued Self-Organizing Map Using Amplitude and Phase
  • Complex-Valued Self-Organizing Map Using Amplitude and Phase (en)
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  • Complex-Valued Self-Organizing Map Using Amplitude and Phase
  • Complex-Valued Self-Organizing Map Using Amplitude and Phase (en)
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  • RIV/68407700:21240/11:00182698!RIV14-MSM-21240___
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  • Z(MSM6840770012)
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  • 191415
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  • RIV/68407700:21240/11:00182698
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  • Artificial neural networks; self-organization, complex-valued; C-SOM (en)
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  • [ADACD566DEBE]
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  • Praha
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  • Praha
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  • POSTER 2011 - 15th International Student Conference on Electrical Engineering
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  • Zahradník, Jakub
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  • České vysoké učení technické v Praze. Fakulta elektrotechnická
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  • 978-80-01-04806-1
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  • 21240
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