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Practical Applications of Intelligent Systems pp 381–390Cite as

Simulation and Implementation of a Neural Network in a Multiagent System

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 279))

Abstract

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.

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References

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Acknowledgements

The work described in this paper has been funded by the Consejería de Innovación, Ciencia y Empresas (Junta de Andalucía) with reference number P08—TIC-03862 (CARISMA Project).

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Authors and Affiliations

  1. Departamento de Tecnología Electrónica, Universidad de Sevilla, Avda. Reina Mercedes s/n, 41012, Seville, Spain

    D. Oviedo, M. C. Romero-Ternero, M. D. Hernández, A. Carrasco, F. Sivianes & J. I. Escudero

Authors
  1. D. Oviedo
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  2. M. C. Romero-Ternero
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  3. M. D. Hernández
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  4. A. Carrasco
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  5. F. Sivianes
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  6. J. I. Escudero
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Corresponding author

Correspondence to M. C. Romero-Ternero .

Editor information

Editors and Affiliations

  1. College of Computer and Software Engineering, Shenzhen University, Shenzhen, China

    Zhenkun Wen

  2. School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China

    Tianrui Li

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© 2014 Springer-Verlag Berlin Heidelberg

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Cite this paper

Oviedo, D., Romero-Ternero, M.C., Hernández, M.D., Carrasco, A., Sivianes, F., Escudero, J.I. (2014). Simulation and Implementation of a Neural Network in a Multiagent System. In: Wen, Z., Li, T. (eds) Practical Applications of Intelligent Systems. Advances in Intelligent Systems and Computing, vol 279. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54927-4_36

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  • DOI: https://doi.org/10.1007/978-3-642-54927-4_36

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-54926-7

  • Online ISBN: 978-3-642-54927-4

  • eBook Packages: EngineeringEngineering (R0)

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