Utilisateur:Arbg0002/brouillons/réseaux de neurones

De POLR
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Neural networks

Pre-processing

  • Data exploration (clean-up)
  • Data transformation
  • Outlier detection and removal
  • Data normalization, one of:
    • Min-Max Normalization: linear scaling into a data range, typically [0,1]
    • Zscore Normalization: input variable data is converted into zero mean and unit variance
    • Sigmoidal Normalization: nonlinear transformation of the input data into the range [-1,1], with a sigmoid function
  • Data analysis
  • Validation of results