Learning Deep Nets for Gravitational Dynamics with Unknown Disturbance through Physical Knowledge Distillation: Initial Feasibility Study.
Hongbin LinQian GaoXiangyu ChuQi DouAnton DeguetPeter KazanzidesK. W. Samuel AuPublished in: CoRR (2022)
Keyphrases
- learning systems
- knowledge acquisition
- learning process
- prior knowledge
- subject matter
- empirical studies
- learning algorithm
- deeper understanding
- knowledge level
- mathematical concepts
- university students
- undergraduate students
- constructivist learning
- knowledge transfer
- learning tasks
- knowledge construction
- knowledge base
- background knowledge
- online learning
- expert systems
- computer assisted instruction
- machine learning
- student teachers
- learned knowledge
- reinforcement learning
- teacher education
- semi supervised
- mobile learning
- elementary school
- complex domains
- supervised learning
- unsupervised learning
- concept maps
- neural network