Study on the Classification of Pulse Signal Based on the BP Neural Network

• 作者: Jianli Jiang Shaohua Wang Xiaobing Lu
• 来源期刊: 生物科学与医学(英文)
• 学科: 工学
• 关键词: BP NEURAL Network PULSE SIGNAL CLASSIFICATION DIMENSIONAL Analysis
• 年，卷（期）: 2020,（5）
• 页码范围: 104-112
• 页数: 9页
• 分类号: TN9

摘要

The objectification of the pulse signal analysis is a practical problem. The classification of the pulse signal is studied based on the BP neural network. It is first analyzed how to select the characteristic factors of the pulse signal. Then the method of nondimensionalization/normalization on the pulse signal is presented to preprocess the characteristic factors. The classification of the pulse signal and the effects of the selection of characteristic factors are studied by using the normalized data and BP neural network. It is shown that nondimensionalization/normalization of the data is in favor of the training and forecasting of the network. The selection of characteristic factors affects the accuracy of forecasting obviously. The results of forecasting by selection of 8, 6 and 4 factors respectively show that the less the factors are, the worse the effects are.