Doing the impossible: Why neural networks can be trained at all.
Nathan O. HodasPanos StinisPublished in: CoRR (2018)
Keyphrases
- neural network
- multilayer perceptron
- trained neural networks
- multi layer perceptron
- trained neural network
- training process
- auto associative
- backpropagation algorithm
- back propagation
- artificial neural networks
- radial basis function
- multilayer neural network
- neural network model
- neural learning
- pattern recognition
- elman network
- neural nets
- rule extraction
- number of hidden layers
- genetic algorithm
- network architecture
- fuzzy systems
- database
- self organizing maps
- svm classifier
- training set
- image processing
- decision making
- information systems