Deep neural network predicts parameters of quantum many-body Hamiltonians by learning visualized wave-functions.
Xinran MaZ. C. TuShi-Ju RanPublished in: CoRR (2020)
Keyphrases
- neural network
- learning process
- learning systems
- unsupervised learning
- adaptive control
- prior knowledge
- learning tasks
- knowledge acquisition
- model selection
- neural nets
- incremental learning
- parameter space
- learning problems
- human body
- parameter estimation
- maximum likelihood
- supervised learning
- fuzzy logic
- active learning
- decision trees
- learning algorithm
- genetic algorithm