Другие журналы
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Povidalo
Application of self-organizing neural networks for identification of blood glucose level of 1-st type diabetic patients
Engineering Education # 05, May 2010 Method for dynamical systems identification using self-organizing neural networks is considered. Using method VQTAM was constructed self-organizing neural model for blood glucose level of 1-st type diabetic patients. Set of experimental researches for constructed model is performed y is estimated its accuracy
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