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The Optimal Morphological Model for Arterial Blood Pressure Wave Related Classification: Comparison of Two Types of Kernel Function Mixtures
期刊论文
IEEE Access, 2020, 卷号: 8, 页码: 4133-4148
作者:
Chou, Yongxin
;
Wang, Ping
;
Feng, Yufeng
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2020/11/14
Blood
Blood pressure
Computational complexity
Decision trees
Gaussian distribution
Mixtures
Arterial blood pressure
Classification results
Gaussian functions
Information redundancies
Kolmogorov-Smirnov test
Log-normal functions
Morphological model
Probabilistic neural networks
Bradycardia and Tachycardia Detection Using a Synthesis-by-Analysis Modeling Approach of Pulsatile Signal
期刊论文
IEEE Access, 2019, 卷号: 7, 页码: 131256-131269
作者:
Chou, Yongxin
;
Gu, Jason
;
Liu, Jicheng
;
Gu, Ya
;
Lin, Jiajun
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2020/11/14
Cardiovascular system
Decision trees
Random forests
Analysis models
Classification performance
Classification results
Feature vectors
Healthy subjects
Kappa coefficient
Model-based method
Probabilistic neural networks
Locomotion Mode Recognition based on Foot posture and Ground Reaction Force
会议论文
作者:
Zhu, Aibin
;
Li, Ying
;
Wu, Yuexuan
;
Wu, Mengke
;
Zhang, Xiaodong
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/11/19
Different terrains
Gait analysis systems
Ground reaction forces
Information acquisitions
Installation methods
Measurement methods
Probabilistic neural networks
Segmentation methods
Stokes Space Modulation Format Identification for Optical Signals Using Probabilistic Neural Network
期刊论文
IEEE Photonics Journal, 2018, 页码: 1
作者:
Hao, M
;
Yan, LS
;
Yi, AL
;
Jiang, L
;
Pan, Y
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/02/25
Modulation
Feature extraction
Signal to noise ratio
Optical noise
Optical receivers
Optical fiber networks
Neural networks
Modulation format identification
coherent optical communications
probabilistic neural network
Fault diagnosis of gearbox based on the nonlinear output frequency response functions and PNN
会议论文
Vibroengineering Procedia
作者:
Zhang, X.
;
Wang, Z.
;
Lu, C.
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/30
Condition monitoring
Failure analysis
Frequency response
Gears
Neural networks
Abnormal conditions
Complex nonlinear system
Feature extraction methods
Frequency domain approaches
Gearbox
Non-linear output frequency response function
Probabilistic neural networks
The NOFRFs
Fault detection
System reliability analysis of slopes using multilayer perceptron and radial basis function networks
期刊论文
INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS, 2017, 卷号: 41, 页码: 1962-1978
作者:
Kang, Fei
;
Li, Junjie
;
Xu, Qing
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/03
artificial neural networks
Monte Carlo simulation
probabilistic slope stability
response surface
system reliability
A local spectral feature based face recognition approach for the one-sample-per-person problem
期刊论文
Neurocomputing, 2016, 卷号: Vol.188, 页码: 160-166
作者:
Shang,Li
;
Sun,Zhan-Li
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/04/22
PROBABILISTIC NEURAL-NETWORKS
SINGLE TRAINING IMAGE
EXAMPLE IMAGE
CLASSIFIERS
Dispersion constraint based non-negative sparse coding algorithm
期刊论文
Neurocomputing, 2016, 卷号: Vol.188, 页码: 253-261
作者:
Shang,Li
;
Sun,Zhan-Li
;
Wang,Xin
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/04/22
PROBABILISTIC NEURAL-NETWORKS
GAUSSIAN DENSITY MODEL
MATRIX FACTORIZATION
FACE RECOGNITION
SHRINKAGE TECHNIQUE
NATURAL IMAGES
REPRESENTATIONS
METHODOLOGY
SET
Hot-Redundancy CPCI Measurement and Control System Based on Probabilistic Neural Networks
会议论文
13th International Symposium on Neural Networks (ISNN), Saint Petersburg, RUSSIA, 2016-01-01
作者:
Li, Dan
;
Hu, Xiaoguang
;
Zhang, Guofeng
;
Duan, Haibin
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/30
Probabilistic neural networks
Fault diagnosis
Hot-redundancy
Hot-swap
Compact PCI bus
Wavelet Neural Modeling for Hydrologic Time Series Forecasting with Uncertainty Evaluation
SCI/SSCI论文
2015
作者:
Sang Y. F.
;
Wang, Z. G.
;
Liu, C. M.
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2015/12/09
Hydrologic time series analysis
Probabilistic forecasting
Uncertainty
evaluation
Wavelet neural model
Monte-Carlo simulation
monthly rainfall
practical guide
prediction
networks
precipitation
decomposition
sensitivity
calibration
level
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