Training, Programming, and Correction Techniques of Memristor-Crossbar Neural Networks with Non-Ideal Effects such as Defects, Variation, and Parasitic Resistance.
Tien Van NguyenJiyong AnSeokjin OhPublished in: ASICON (2021)
Keyphrases
- neural network
- training process
- quantum mechanics
- training algorithm
- feedforward neural networks
- pattern recognition
- multi layer perceptron
- feed forward neural networks
- backpropagation algorithm
- back propagation
- activation function
- defect detection
- multi layer
- fuzzy systems
- artificial neural networks
- radial basis function network
- computer software
- neural network structure
- neural network model
- recurrent networks
- training set
- evolutionary computation
- multilayer perceptron