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  • FOQUS Installation and Running
  • Introduction
  • Flowsheets and Settings
  • Optimization
  • Uncertainty Quantification (UQ)
  • Optimization Under Uncertainty (OUU)
  • Surrogate Modeling
    • Contents
      • Gradient Generation to Support Gradient-Enhanced Neural Networks
      • Machine Learning & Artificial Intelligence Flowsheet Model Plugins
      • Surrogate Models Overview
      • Tutorial
  • Sequential Design of Experiments (SDOE)
  • Robust Optimality-Based Design of Experiments (ODoE)
  • Heat Integration
  • PYOMO-FOQUS
  • IDAES-FOQUS
  • FOQUS-MATLAB
  • Simulation Standard Interface (SimSinter)
  • Surrogate Model Based Optimizer
  • Debugging
  • Developer Documentation
  • Vector Variables Support Capability
  • References
  • Contact and Support
  • Copyright and License
FOQUS
  • Surrogate Modeling
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Surrogate Modeling

Contents

  • Gradient Generation to Support Gradient-Enhanced Neural Networks
  • Machine Learning & Artificial Intelligence Flowsheet Model Plugins
    • Custom Model Attributes
    • Data Normalization For Neural Network Models
    • Usage Example
  • Surrogate Models Overview
    • Data Selection
    • Variables
    • Method Settings
    • Execution
  • Tutorial
    • Tutorial 1: ALAMO
    • Tutorial 2: ACOSSO
    • Tutorial 3: BSS-ANOVA
    • Tutorial 4: Surrogates with UQ Tools
    • Tutorial 5: Surrogates with the Flowsheet
    • Tutorial 6: Neural Networks
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