Identification of the hierarchical data structure
| Autor: | I. E. Shepelev |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
Artificial neural network
business.industry Computer science Pattern recognition computer.software_genre Computer Graphics and Computer-Aided Design Hierarchical database model ComputingMethodologies_PATTERNRECOGNITION Multilayer perceptron Radial basis function Computer Vision and Pattern Recognition Artificial intelligence Data mining business Classifier (UML) computer |
| Zdroj: | Pattern Recognition and Image Analysis. 21:211-214 |
| ISSN: | 1555-6212 1054-6618 |
| Popis: | The task of identifying a hierarchical data structure is considered for the example of the problem of identifying personalizing reference characteristics. A model of a neural network based on radial basis functions is proposed as a possible solution of the task. The identification of the hierarchical dependence is practically aimed to create a classifier using a restricted set of input variables compared to the flat structured classifier. A multilayer perceptron is used as local classifiers. We also use self-organizing maps to visually show data structuredness. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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