EEG signal analysis using classification techniques: Logistic regression, artificial neural networks, support vector machines, and convolutional neural networks

Lignende værker

• Evaluating the High Risk Groups for Suicide: A Comparison of Logistic Regression, Support Vector Machine, Decision Tree and Artificial Neural Network
  af: AMINI, Payam, et al.
  Udgivet: (2016)
• Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms
  af: Nhu, Viet-Ha, et al.
  Udgivet: (2020)
• Comparing logistic regression, support vector machines, and permanental classification methods in predicting hypertension
  af: Huang, Hsin-Hsiung, et al.
  Udgivet: (2014)
• Deep Convolutional Neural Network-Based Epileptic Electroencephalogram (EEG) Signal Classification
  af: Gao, Yunyuan, et al.
  Udgivet: (2020)
• Deep Convolutional Neural Support Vector Machines for the Classification of Basal Cell Carcinoma Hyperspectral Signatures
  af: Lloyd A. Courtenay, et al.
  Udgivet: (2022-04-01)