Cognitive Computation

, Volume 5, Issue 4, pp 551–557 | Cite as

Meteorological Prediction Implemented on Field-Programmable Gate Array

  • José L. Vásquez
  • Santiago T. Pérez
  • Carlos M. Travieso
  • Jesús B. Alonso
Article
First Online:
Received:
Accepted:

Abstract

In this work, a temperature predictor has been designed. The prediction is made by a multilayer perceptron neural network. Initially, the floating-point algorithm was evaluated. Afterward, the fixed-point algorithm was designed on a field-programmable gate array. The architecture was fully parallelized, and a maximum delay of 74 ns was obtained. The design tool used is a Xilinx system generator.

Keywords

Neural network FPGA Temperature prediction Simulink System generator Floating point Fixed point VHDL Verilog 
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Notes

Acknowledgments

This work has been supported by the Spanish Government, in particular by “Agencia Española de Cooperación Internacional para el Desarrollo” under the research projects with references D/027406/09 for 2010, D/033858/10 for 2011 and A1/039531/11 for 2012.

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Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  • José L. Vásquez
    • 1
  • Santiago T. Pérez
    • 2
  • Carlos M. Travieso
    • 2
  • Jesús B. Alonso
    • 2
  1. 1.Department of Computer Science, Sede del AtlánticoUniversity of Costa RicaTurrialbaCosta Rica
  2. 2.Signals and Communications Department, Institute for Technological Development and Innovation in CommunicationsUniversity of Las Palmas de Gran CanariaLas Palmas de Gran CanariaSpain

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