On-Chip Spike Detection and Classification using Neural Networks and Approximate Computing.
Efstratios ZacharelosCiro ScognamilloEttore NapoliDiego GragnanielloPublished in: BioCAS (2023)
Keyphrases
- neural network
- pattern recognition
- classification accuracy
- pattern classification
- neyman pearson
- robust detection
- decision trees
- automatic classification
- detection algorithm
- classification method
- false positives
- image classification
- object detection
- high speed
- feature selection
- false alarms
- support vector
- machine learning
- mammogram images
- learning vector quantization
- multi layer perceptron
- detection rate
- classification algorithm
- feature vectors
- support vector machine
- self organizing maps
- feature space
- classification rules
- artificial neural networks
- back propagation
- recurrent neural networks
- training process
- feature extraction
- support vector machine svm
- rule extraction
- training samples
- anomaly detection
- fuzzy logic