Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery.
Samuel KimPeter Y. LuSrijon MukherjeeMichael GilbertLi JingVladimir CepericMarin SoljacicPublished in: CoRR (2019)
Keyphrases
- deep learning
- scientific discovery
- symbolic regression
- genetic programming
- unsupervised learning
- artificial intelligence
- machine learning
- knowledge discovery
- software package
- mental models
- gene expression programming
- neural network
- weakly supervised
- parameter optimization
- evolutionary computation
- supervised learning
- information retrieval
- databases
- higher order
- high dimensional
- real world
- expert systems