A novel classifier architecture based on deep neural network for COVID-19 detection using laboratory findings.
Volkan GörekeVekil SariSerdar KockanatPublished in: Appl. Soft Comput. (2021)
Keyphrases
- neural network
- network architecture
- fuzzy artmap
- learning vector quantization
- false positives
- associative memory
- false negative
- neural architecture
- multi layer
- backpropagation neural network
- real time
- detection algorithm
- false alarms
- back propagation
- anomaly detection
- object detection
- management system
- probabilistic neural network
- support vector machine classifier
- case study
- fuzzy logic
- artificial neural networks
- feature space
- classification process
- pattern recognition
- multi layer perceptron
- training process
- mlp neural networks
- feature maps
- software architecture
- neural network model
- automatic detection
- classification algorithm
- svm classifier
- detection method
- detection rate
- self organizing maps
- classifier combination
- support vector machine
- training set
- feature extraction and classification
- support vector
- training data
- decision trees
- learning algorithm
- binary decision tree