Luận Văn Performance of modern techniques for rating model design

1. introduction

2. classification problem

2.1. classification theoretical framework

2.2. classification problem and corporate rating problem

2.3. generalization performance

3. data set description

4. linar classifiers

4.1. linear regressions

4.2. gradient descendent

4.3. discriminant analysis

5. Non – linear classifiers

6. neural networks

6.1. multilayer perceptrons

6.2. radial basis neural networks

6.3. learing vector quantization

6.4. selfOrganized Maps

7. conclusions and further research