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Support Vector Machines for Antenna Array Processing and Electromagnetics
Support Vector Machines (SVM) were introduced in the early 90's as a novel nonlinear solution for classification and regression tasks. These techniques have been proved to have superior performances in a large variety of real world applications due to their generalization abilities and robustne...
| Clasificación: | Libro Electrónico |
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| Autores principales: | , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2006.
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| Edición: | 1st ed. 2006. |
| Colección: | Synthesis Lectures on Computational Electromagnetics,
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| Temas: | |
| Acceso en línea: | Texto Completo |
| Sumario: | Support Vector Machines (SVM) were introduced in the early 90's as a novel nonlinear solution for classification and regression tasks. These techniques have been proved to have superior performances in a large variety of real world applications due to their generalization abilities and robustness against noise and interferences. This book introduces a set of novel techniques based on SVM that are applied to antenna array processing and electromagnetics. In particular, it introduces methods for linear and nonlinear beamforming and parameter design for arrays and electromagnetic applications. |
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| Descripción Física: | IX, 110 p. online resource. |
| ISBN: | 9783031016929 |
| ISSN: | 1932-1716 |