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SAS 9.2 Neural Network

SAS 9.2 Neural Network. 데이터마이닝 방법론 강현철 외 자유아카데미 . 2006/03/01. MLP. MLP (Chapter5_3). MLP: Input Data Source (BUYTEST). MLP: Input Data Source (RESPOND  Target). MLP: Data Partition (50:50:0). MLP: Neural Network (Variables). MLP: Neural Network (Basic).

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SAS 9.2 Neural Network

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  1. SAS 9.2Neural Network 데이터마이닝 방법론 강현철 외 자유아카데미. 2006/03/01

  2. MLP

  3. MLP (Chapter5_3)

  4. MLP: Input Data Source (BUYTEST)

  5. MLP: Input Data Source (RESPOND  Target)

  6. MLP: Data Partition (50:50:0)

  7. MLP: Neural Network (Variables)

  8. MLP: Neural Network (Basic)

  9. MLP: Neural Network (Output – Score = 예측값 계산)

  10. MLP: Neural Network (Tables)

  11. MLP: Neural Network (Weights)

  12. MLP: Neural Network (Plot)

  13. MLP: Regression (Output)

  14. MLP: Regression (Results/Output)

  15. MLP: Assessment (Lift Graph)

  16. MLP: Insight (Data)

  17. MLP: Insight (Results – P_RESPOND1)

  18. MLP with Two Hidden Layers

  19. MLP (Chapter5_4)

  20. MLP: Input Data Source (BUYTEST)

  21. MLP: Input Data Source (RESPOND  Target)

  22. MLP: Data Partition (100:0:0)

  23. MLP: Neural Network (General)

  24. MLP: Neural Network (Advanced)

  25. MLP: Neural Network (Advanced)

  26. MLP: Neural Network (Advanced)

  27. MLP: Neural Network (Advanced)

  28. MLP: Neural Network (Advanced)

  29. MLP: Neural Network (Advanced)

  30. MLP: Neural Network (Advanced)

  31. MLP: Assessment (Results)

  32. Interpretation of MLP using Decision Tree

  33. MLP+DT

  34. MLP+DT: Neural Network (Output)

  35. MLP+DT: Transform Variables

  36. MLP+DT: Transform Variables (Create Variable)

  37. MLP+DT: Transform Variables (Create Variable/Define)

  38. MLP+DT: Transform Variables

  39. MLP+DT: Data Set Attributes (DECISION)

  40. MLP+DT: Data Set Attributes (New Model Role)

  41. MLP+DT: Tree (Run)

  42. MLP+DT: Tree (Results/Tree)

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