An approximate backpropagation learning rule for memristor based neural networks using synaptic plasticity.
D. V. NegrovI. M. KarandashevV. V. ShakirovYu. A. MatveyevWitali L. Dunin-BarkowskiA. V. ZenkevichPublished in: Neurocomputing (2017)
Keyphrases
- back propagation
- learning rules
- synaptic plasticity
- spiking neural networks
- neural network
- feed forward
- biologically plausible
- artificial neural networks
- quantum mechanics
- training algorithm
- neural nets
- feed forward neural networks
- bp algorithm
- multilayer perceptron
- hidden layer
- backpropagation algorithm
- activation function
- feedforward neural networks
- backpropagation neural network
- learning algorithm
- fuzzy logic
- bp neural network
- biologically inspired
- synaptic weights
- recurrent neural networks
- backpropagation neural networks
- self organizing maps
- multilayer neural network
- neural network model
- genetic algorithm ga
- fault diagnosis
- fuzzy neural network
- knn
- expert systems
- data mining