Complex-valued wavelet artificial neural network for Doppler signals classifying

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ObjectiveIn this paper, the new complex-valued wavelet artificial neural network (CVWANN) was proposed for classifying Doppler signals recorded from patients and healthy volunteers. CVWANN was implemented on four different structures (CVWANN-1, -2, -3 and -4).

论文关键词：Complex-valued wavelet artificial neural network,Wavelet neural network,Atherosclerosis,Carotid artery,Doppler signals,Leave-one-out cross-validation

论文评审过程：Received 11 July 2006, Revised 19 January 2007, Accepted 8 February 2007, Available online 2 April 2007.

论文官网地址：https://doi.org/10.1016/j.artmed.2007.02.001