A large-scale in-memory computing for deep neural network with trained quantization.
Yuan ChengChao WangHai-Bao ChenHao YuPublished in: Integr. (2019)
Keyphrases
- auto associative
- neural network
- multilayer perceptron
- multi layer perceptron
- associative memory
- trained neural network
- training process
- artificial neural networks
- elman network
- real world
- pattern recognition
- fault diagnosis
- trained neural networks
- fuzzy logic
- wavelet transform
- feed forward neural networks
- neural network model
- back propagation
- memory requirements
- bp neural network
- knn
- network architecture
- real life
- computing power
- deep learning
- backpropagation algorithm
- data structure
- self organizing maps
- neural network is trained