A 64-channel scheme for autism detection via scaled conjugate gradient-based neural network classification of electroencephalogram ripples' complexity.
Enas W. AbdulhayMaha AlafeefHikmat HadoushArunkumar N.Published in: Expert Syst. J. Knowl. Eng. (2023)
Keyphrases
- neural network
- classification scheme
- pattern recognition
- learning vector quantization
- detection scheme
- classification accuracy
- classification algorithm
- false positives
- support vector
- feature vectors
- eeg signals
- machine learning
- digital mammograms
- false alarms
- multi channel
- incremental learning
- class labels
- detection algorithm
- text classification
- feature extraction
- image classification
- computational complexity
- support vector machine
- epileptic seizures
- back propagation
- neyman pearson
- artificial neural networks
- multi layer perceptron
- supervised learning
- worst case
- feature set
- neural network model
- detection rate
- self organizing maps