Artificial neural networks in action for an automated cell-type classification of biological neural networks.
Eirini TroullinouGrigorios TsagkatakisSpyridon ChavlisGergely F. TuriWen-Ke LiAttila LosonczyPanagiotis TsakalidesPanayiota PoiraziPublished in: CoRR (2019)
Keyphrases
- artificial neural networks
- neural network
- multi layer perceptron
- pattern recognition
- automated classification
- learning vector quantization
- back propagation
- neural network model
- feature extraction
- support vector machine svm
- support vector
- genetic algorithm
- pattern classification
- machine learning
- recurrent neural networks
- training process
- class labels
- decision trees
- learning rules
- rule extraction
- feed forward neural networks
- generalization ability
- feed forward
- soft computing
- multilayer perceptron
- classification method
- text classification
- computational intelligence
- supervised learning
- support vector machine
- feature vectors
- neural nets
- fuzzy systems
- hidden layer
- image classification
- systems biology
- hidden neurons
- protein subcellular location