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Classification and Modeling with Linguistic Information Granules Advanced Approaches to Linguistic Data Mining /
Many approaches have already been proposed for classification and modeling in the literature. These approaches are usually based on mathematical mod els. Computer systems can easily handle mathematical models even when they are complicated and nonlinear (e.g., neural networks). On the other hand, i...
| Clasificación: | Libro Electrónico |
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| Autores principales: | , , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2005.
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| Edición: | 1st ed. 2005. |
| Colección: | Advanced Information Processing
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| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Linguistic Information Granules
- Pattern Classification with Linguistic Rules
- Learning of Linguistic Rules
- Input Selection and Rule Selection
- Genetics-Based Machine Learning
- Multi-Objective Design of Linguistic Models
- Comparison of Linguistic Discretization with Interval Discretization
- Modeling with Linguistic Rules
- Design of Compact Linguistic Models
- Linguistic Rules with Consequent Real Numbers
- Handling of Linguistic Rules in Neural Networks
- Learning of Neural Networks from Linguistic Rules
- Linguistic Rule Extraction from Neural Networks
- Modeling of Fuzzy Input-Output Relations.