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Description
  • We show on an example from medical diagnosis that some problems can be solved using simple neural networks. First we define some basic notions from neural network theory. We mention also some basic facts about electrocardiography. Then we use three-layered neural network with backpropagation algorithm to adaptation on classification the patients? ECG signals into two classes and summarize results.
  • We show on an example from medical diagnosis that some problems can be solved using simple neural networks. First we define some basic notions from neural network theory. We mention also some basic facts about electrocardiography. Then we use three-layered neural network with backpropagation algorithm to adaptation on classification the patients? ECG signals into two classes and summarize results. (en)
Title
  • Neural networks and their application in ECG
  • Neural networks and their application in ECG (en)
skos:prefLabel
  • Neural networks and their application in ECG
  • Neural networks and their application in ECG (en)
skos:notation
  • RIV/61988987:17610/05:A1000DGT!RIV10-MSM-17610___
http://linked.open...avai/riv/aktivita
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  • P(1M0572)
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  • 56
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  • 532552
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  • RIV/61988987:17610/05:A1000DGT
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  • Neural Networks; Backpropagation; ECG; Learning and adaptive systems (en)
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  • SK - Slovenská republika
http://linked.open...ontrolniKodProRIV
  • [EC693A1739D4]
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  • Journal of Electrical Engineering
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  • 12
http://linked.open...iv/tvurceVysledku
  • Polakovič, Ondřej
issn
  • 1335-3632
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  • 17610
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