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1.6.1
  • Installation guide
  • Quick start examples
  • API documentation
  • Tutorials
    • C++
    • Python
      • Core
        • Custom Kernels
      • Symbolic Regression
        • A basic tutorial on symbolic regression
        • Learning constants using evolution
        • Multi-objective memetic approach
        • A real-world case (Engineering: materials)
        • A real-world case (Physics: dynamics)
        • A real-world case (Biomimetics: space technology)
        • Symbolic Regression and the Island Model
      • Phenotype correction
        • Phenotype Correction
      • Neural Networks
        • Representing an Artificial Neural Network as a Cartesian Genetic Program
        • Training a FFNN in dCGPANN vs. Keras (classification)
        • Training a FFNN in dCGPANN vs. Keras (regression)
      • Other
        • Solving differential equations with dCGP
        • Weighted dCGP for a symbolic regression task
        • Discovery of prime integrals with dCGP
      • Deprecated
        • Learning constants in a symbolic regression task (deprecated)
        • Learning constants in a symbolic regression task (PART II) (deprecated)
  • Background
  • Credits
  • Changelog
dCGP
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Python

Core

  • Custom Kernels

Symbolic Regression

  • A basic tutorial on symbolic regression
  • Learning constants using evolution
  • Multi-objective memetic approach
  • A real-world case (Engineering: materials)
  • A real-world case (Physics: dynamics)
  • A real-world case (Biomimetics: space technology)
  • Symbolic Regression and the Island Model

Phenotype correction

  • Phenotype Correction

Neural Networks

  • Representing an Artificial Neural Network as a Cartesian Genetic Program
  • Training a FFNN in dCGPANN vs. Keras (classification)
  • Training a FFNN in dCGPANN vs. Keras (regression)

Other

  • Solving differential equations with dCGP
  • Weighted dCGP for a symbolic regression task
  • Discovery of prime integrals with dCGP

Deprecated

  • Learning constants in a symbolic regression task (deprecated)
  • Learning constants in a symbolic regression task (PART II) (deprecated)
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© Copyright 2020, Dario Izzo, Francesco Biscani.

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