Predicting Quantum Potentials by Deep Neural Network and Metropolis Sampling.
Rui HongPeng-Fei ZhouBin XiJie HuAn-Chun JiShi-Ju RanPublished in: CoRR (2021)
Keyphrases
- neural network
- simulated annealing
- fuzzy logic
- higher order
- back propagation
- artificial neural networks
- markov chain monte carlo
- random sampling
- monte carlo
- neural network model
- training process
- fuzzy artmap
- pattern recognition
- high order
- sampling methods
- recurrent neural networks
- feed forward neural networks
- sampling algorithm
- channel capacity
- quantum computation
- network architecture
- neural nets
- posterior distribution
- bp neural network
- feed forward
- fault diagnosis
- genetic algorithm
- multi layer
- multilayer perceptron
- sampling strategy
- learning vector quantization
- latent variables
- gibbs sampler
- neural network is trained