A comparative study between SVM and fuzzy inference system for the automatic prediction of sleep stages and the assessment of sleep quality.
Christos PanagiotouIoakeim K. SamarasJohn V. GialelisPetros ChondrosDimitrios KaradimasPublished in: PervasiveHealth (2015)
Keyphrases
- fuzzy inference system
- sleep stage
- sleep apnea
- support vector
- prediction accuracy
- fuzzy logic
- fuzzy rules
- quality assessment
- input output
- neural fuzzy
- support vector machine svm
- fuzzy inference
- neuro fuzzy
- fuzzy systems
- neural network
- membership functions
- support vector machine
- feature selection
- artificial neural networks
- real time
- prediction model
- genetic programming
- machine learning
- takagi sugeno
- control system
- decision making
- real world
- anfis model
- fuzzy if then rules
- learning algorithm
- fuzzy control
- fuzzy controller
- artificial intelligence
- fuzzy model
- expert systems
- classification algorithm