Comparación de nueve algoritmos de máquinas de aprendizaje con alicaciones en la detección de Arrecife de Coral.
This work focuses on the comparison of nine algorithms learning machines for the development of a detector coral this detector comprises a extraction portion eigenvectors , which is performed with filters Gabor Wavelets , and a sorting vector using learning machines based on neural networks comparin...
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| Altres autors: | , |
| Format: | article |
| Idioma: | spa |
| Publicat: |
2015
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| Matèries: | |
| Accés en línia: | http://repositorio.utmachala.edu.ec/handle/48000/5081 |
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Afegir etiqueta | Sumari: | This work focuses on the comparison of nine algorithms learning machines for the development of a detector coral this detector comprises a extraction portion eigenvectors , which is performed with filters Gabor Wavelets , and a sorting vector using learning machines based on neural networks comparing the accuracy and runtime nine machine learning algorithms , the result was realized that the algorithm selection decision trees. |
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