正文
《信息与电子工程前沿(英文)》 >> 2015年 第16卷 第6期 doi: 10.1631/FITEE.1400295
Using hybrid models to predict blood pressure reactivity to unsupported back based on anthropometric characteristics
Sant Longowal Institute of Engineering and Technology, Deemed University, Punjab 148106, India
摘要
关键词
Blood pressure (BP) ; Principal component analysis (PCA) ; Forward stepwise regression ; Artificial neural network (ANN) ; Adaptive neuro-fuzzy inference system (ANFIS) ; Least squares support vector machine (LS-SVM)
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