Quantum neural network autoencoder and classifier applied to an industrial case study.
Stefano ManginiAlessia MarruzzoMarco PiantanidaDario GeraceDaniele BajoniChiara MacchiavelloPublished in: CoRR (2022)
Keyphrases
- neural network
- neural network is trained
- training data
- fuzzy artmap
- learning vector quantization
- support vector
- learning algorithm
- data sets
- backpropagation neural network
- probabilistic neural network
- training process
- feed forward
- pattern recognition
- svm classifier
- recurrent neural networks
- incremental learning
- class labels
- back propagation
- training samples
- feature selection
- genetic algorithm