Computer Science ›› 2018, Vol. 45 ›› Issue (6A): 506-507.

• Interdiscipline & Application • Previous Articles     Next Articles

Pulse Condition Recognition Based on Convolutional Neural Network with Dimension Enlarging

ZHANG Ning   

  1. China Institute for Actuarial Science,Central University of Finance and Economics,Beijing 100081,China
  • Online:2018-06-20 Published:2018-08-03

Abstract: A new model of convolutional neural network was promoted for pulse condition recognition.The model is fit for the group including different dimensional data sets.For more effective training process,the sample characters and HHT’s results were considered as a times series.The result shows the expected accuracy rating and training efficiency.The method can also obtain the relations between pulse conditions and several personal biological data.

Key words: Convolutional neural network, Empirical mode decomposition, Hilbert-Huang transform, Pulse condition, Statistical characters

CLC Number: 

  • TP301
[1]张宁.深度学习改变保险精算定价模式[J].计算机科学,2017,44(3):1-2.
[2]刘琮,许维胜,吴启迪.时空域深度卷积神经网络及其在行为识别上的应用[J].计算机科学,2015,42(7):245-249.
[3]ALTWAIJRY H,TRULLS E,HAYS J,et al.Learning to match aerial images with deep attentive architectures[C]∥Computer Vision and Pattern Recognition.IEEE,2016:3539-3547.
[4]XIA L,et al.Selected by input:Energy efficient structure for rrambased convolutional neural network[C]∥DAC.2016 [5]HILTON G E,SALAKHUTDINOV R R.Reducing the Dimensionality of Data with Neural Network[J].Science,2006,313:504-507.
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