Self-supervised learning and prediction of microstructure evolution with convolutional recurrent neural networks.
Kaiqi YangYifan CaoYoutian ZhangShaoxun FanMing TangDaniel AbergBabak SadighFei ZhouPublished in: Patterns (2021)
Keyphrases
- recurrent neural networks
- cascade correlation
- learning algorithm
- feedforward neural networks
- learning process
- learning systems
- unsupervised learning
- recurrent networks
- supervised learning
- sparse coding
- reinforcement learning
- deep learning
- genetic algorithm
- long term
- semi supervised
- machine learning
- active learning
- artificial neural networks
- control law
- deep belief networks
- echo state networks