A backpropagation with gradient accumulation algorithm capable of tolerating memristor non-idealities for training memristive neural networks.
Shuai DongYihong ChenZhen FanKaihui ChenMinghui QinMin ZengXubing LuGuofu ZhouXingsen GaoJun-Ming LiuPublished in: Neurocomputing (2022)
Keyphrases
- back propagation
- training algorithm
- neural network
- backpropagation algorithm
- feed forward neural networks
- bp algorithm
- feedforward neural networks
- levenberg marquardt
- learning algorithm
- multilayer neural network
- training process
- artificial neural networks
- neural nets
- fuzzy logic
- feed forward
- optimization algorithm
- learning rate
- rbf network
- weight update
- machine learning
- error back propagation
- competitive learning
- learning rules
- benchmark problems
- decision making
- ant colony algorithm
- training phase
- recurrent neural networks
- multilayer perceptron
- trained neural network
- radial basis
- optimization method
- single hidden layer
- support vector
- cascade correlation