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Neural Network Modeling

Ⱓ : 2(12ð)


ִ м 𵨷

Ұ
Multi-Layer Perceptron Radial Basis Function Ű м ˰ ϴ. Ű ̷а ̽ ϸ, Ű ϰ Ϲ training ϴ NEURAL Procedure ̿Ͽ Ű м ϴ нϰ ˴ϴ.


⺻ м ͸̴׿ Enterprise Miner 뿡 ʿ մϴ.



  • Multilayer Perceptron Radial Basis Function Ű м
    • NLIN procedure ̿ nonlinear regression м
    • EG procedure ̿ polynomial regression м
    • GPLOT procedure ̿ nonparametric regression м
  • Ű Training
    • multilayer perceptrons
    • normalized radial basis function networks
  • Ű н
    • Error Functions ̷
    • Ű м ϴ
  • The NEURAL Procedure
    • weight interpretation ̿
    • sensitivity-based pruning ̿
  • Hybrid Networks


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