Equation Learner, a neural network approach to symbolic regression
We present an approach to identify concise equations from data using a shallow neural network approach. In contrast to ordinary black-box regression, this approach allows understanding functional relations and generalizing them from observed data to unseen parts of the parameter space.
Autonomous Learning Group at Max Planck Institue for Intelligent Systems, Tübingen, Germany: Website: al.is.mpg.de
- See the subdirectory EQL-DIV-ICML for the Theano code implementing the EQL-Division model.
- go to EQL_Tensorflow repository