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Ponencia
Simulation and Implementation of a Neural Network in a Multiagent System
Autor/es | Oviedo, D.
Romero Ternero, María del Carmen Hernández Velázquez, María Dolores Carrasco Muñoz, Alejandro Sivianes Castillo, Francisco Escudero Fombuena, José Ignacio |
Departamento | Universidad de Sevilla. Departamento de Tecnología Electrónica |
Fecha de publicación | 2014 |
Fecha de depósito | 2022-04-13 |
Publicado en |
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ISBN/ISSN | 978-3-642-54926-7 2194-5357 |
Resumen | This paper presents the simulation and the implementation of a model
of a neural network applied to a multiagent system by using the Neuroph
framework. This tool enables several tests to be carried out and verify ... This paper presents the simulation and the implementation of a model of a neural network applied to a multiagent system by using the Neuroph framework. This tool enables several tests to be carried out and verify which structure is the best structure of our neural network for a specific application. In our case, we simulated the neural network for a sun-tracking control system in a solar farm. Initial implementation shows good results in performance, thereby providing an alternative to traditional solar-tracking systems. |
Agencias financiadoras | Junta de Andalucía |
Identificador del proyecto | P08-TIC-03862 (CARISMA) |
Cita | Oviedo, D., Romero Ternero, M.d.C., Hernández Velázquez, M.D., Carrasco Muñoz, A., Sivianes Castillo, F. y Escudero Fombuena, J.I. (2014). Simulation and Implementation of a Neural Network in a Multiagent System. En ISKE 2013 : 8th International Conference on Intelligent Systems and Knowledge Engineering (381-390), Shenzhen, China: Springer. |
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