Neural networks and wireless communications modeling
This paper presents a free software tool that supports the next-generation Mobile Communications, through the automatic generation of models of components and electronic devices based on neural networks. This tool enables the creation, training, validation and simulation of the model directly from m...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2010 |
| País: | Argentina |
| Institución: | Consejo Nacional de Investigaciones Científicas y Técnicas |
| Repositorio: | CONICET Digital (CONICET) |
| Idioma: | español |
| OAI Identifier: | oai:ri.conicet.gov.ar:11336/97704 |
| Acceso en línea: | http://hdl.handle.net/11336/97704 |
| Access Level: | acceso abierto |
| Palabra clave: | MODELING NEURAL NETWORKS SIMULATION SOFTWARE TOOLS WIRELESS COMMUNICATIONS https://purl.org/becyt/ford/1.2 https://purl.org/becyt/ford/1 |
| Sumario: | This paper presents a free software tool that supports the next-generation Mobile Communications, through the automatic generation of models of components and electronic devices based on neural networks. This tool enables the creation, training, validation and simulation of the model directly from measurements made on devices of interest, using an interface totally oriented to non-experts in neural models. The resulting model can be exported automatically to a traditional circuit simulator to test different scenarios. |
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