Proposal of a neuro-DBR system and its application to the prediction of Lorenz time series
This paper proposes the Lorenz time series prediction using a new method known as neural-DBR system and comparing this with a typical fuzzy-neural design. The neuralDBR technique is a union of neural networks and the defuzzification methodology based on Boolean relations (DBR). The DBR theory aims t...
| Autores Principales: | , , |
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| Formato: | Artículo (Article) |
| Lenguaje: | Español (Spanish) |
| Publicado: |
Universidad Militar Nueva Granada
2010
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/10654/33122 |