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: IEEE Trans. Emerg. Top. Comput. Intell. (2021)
Keyphrases
- artificial neural networks
- neural network
- pattern recognition
- automated classification
- multi layer perceptron
- back propagation
- classification accuracy
- feature selection
- rule extraction
- multilayer perceptron
- generalization ability
- neural network model
- machine learning
- soft computing
- genetic algorithm ga
- fuzzy logic
- hidden neurons
- text classification
- learning vector quantization
- feed forward neural networks
- feed forward
- pattern classification
- feature vectors
- training set
- support vector
- genetic algorithm
- activation function
- training process
- neural networks and support vector machines
- hidden layer
- fuzzy systems
- recurrent neural networks
- radial basis function
- classification algorithm
- image classification
- support vector machine
- training data