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Neural Network Modeling |
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- Multilayer Perceptron°ú Radial Basis Function ½Å°æ¸Á ºÐ¼® ¼³°è
- NLIN procedure À» ÀÌ¿ëÇÑ nonlinear regression ºÐ¼®
- EG procedure À» ÀÌ¿ëÇÑ polynomial regression ºÐ¼®
- GPLOT procedureÀ» ÀÌ¿ëÇÑ nonparametric regression ºÐ¼®
- ÀûÀýÇÑ ½Å°æ¸Á ±¸Á¶¿Í Training ¹æ¹ý ¼±ÅÃ
- multilayer perceptrons ¼³°è
- normalized radial basis function networks ¼³°è
- ½Å°æ¸Á ÇнÀ
- Error FunctionsÀÇ Åë°èÀû ÀÌ·Ð
- ½Å°æ¸Á ºÐ¼®ÀÇ °úÀûÇÕÀ» ÇÇÇÏ´Â ¹æ¹ý
- The NEURAL Procedure
- weight interpretationÀ» ÀÌ¿ëÇÑ º¯¼ö¼±ÅÃ
- sensitivity-based pruningÀ» ÀÌ¿ëÇÑ º¯¼ö¼±ÅÃ
- Hybrid Networks
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