A computational framework for physics-informed symbolic regression with straightforward integration of domain knowledge

Computer Science

• Domain Knowledge 100%
• Symbolic Expression 100%
• Regression Method 100%
• Open Source 50%
• Automatic Machine 50%
• Scientific Field 50%
• Scientific Discipline 50%
• Machine Learning 50%
• Learning System 50%
• Selection Method 50%
• Genetic Algorithm 50%

Keyphrases

• Computational Framework 100%
• Physics-informed 100%
• Symbolic Regression 100%
• Symbolic Expression 40%
• Selection Strategy 20%
• Two-level 20%
• Aerodynamics 20%
• Genetic Algorithm 20%
• Human-in-the-loop 20%
• Learning Levels 20%
• Fundamental Challenges 20%
• Scientific Disciplines 20%
• Automatic Machine Learning 20%
• Excessive Noise 20%
• Missing Features 20%
• Wrapper Feature Selection 20%
• Nonlinear Drag Force 20%
• Regression System 20%