Advanced metamodeling tools

  • PIAnO Metamodeler as a Standalone application
  • Automatic metamodel selection
  • State-of-the-art metamodels including EDT and MLP
  • Outlier detection, sample point allocation, duplicate removal features
  • Analysis of generated metamodels
  • Export generated metamodels
  • EDT & MLP are a type of metamodels using deep learning techniques.
  • Data with the size of thousands to tens of thousands can be approximated effectively.

MLP (Multi-layer Perceptron)
A machine learning technique using an artificial neural network composed of multiple layers of neurons

EDT (Ensemble of Decision Trees)
A machine learning technique that creates a variety of approximation models then ensembles them using bagging, boosting, and random forest for better prediction