Contrasting Advantages of Learning With Random Weights and Backpropagation in Non-Volatile Memory Neural Networks.
Christopher H. BennettVivek ParmarLaurie E. CalvetJacques-Olivier KleinManan SuriMatthew J. MarinellaDamien QuerliozPublished in: IEEE Access (2019)
Keyphrases
- back propagation
- neural network
- neural nets
- cascade correlation
- feedforward neural networks
- error back propagation
- weight update
- learning algorithm
- feed forward
- artificial neural networks
- multilayer perceptron
- learning rules
- learning process
- training algorithm
- multi layer
- single hidden layer
- feed forward neural networks
- multilayer neural network
- hidden layer
- real time
- connection weights
- backpropagation algorithm
- main memory
- learning tasks
- backpropagation neural networks
- learning scheme
- incremental learning
- neural network ensemble
- particle swarm optimization
- multilayer perceptron neural network