8. Optimization of Time Series Using Parallel, Adaptive, and Neural Techniques

  1. Enrique Alba1,
  2. Christian Blum2,
  3. Pedro Isasi3,
  4. Coromoto León4 and
  5. Juan Antonio Gómez5
  1. J. A Gómez,
  2. M. D. Jaraiz,
  3. M. A. Vega and
  4. J. M. Sánchez

Published Online: 16 MAY 2008

DOI: 10.1002/9780470411353.ch8

Optimization Techniques for Solving Complex Problems

Optimization Techniques for Solving Complex Problems

How to Cite

Gómez, J. A., Jaraiz, M. D., Vega, M. A. and Sánchez, J. M. (2009) Optimization of Time Series Using Parallel, Adaptive, and Neural Techniques, in Optimization Techniques for Solving Complex Problems (eds E. Alba, C. Blum, P. Isasi, C. León and J. A. Gómez), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470411353.ch8

Editor Information

  1. 1

    Universidad de Málaga, Dpto. de Lenguajes y Ciencias de la Computación, Málaga, Spain

  2. 2

    Universitat Politècnica de Catalunya, Dpto. de Llenguatges i Sistemes Informàtics, Barcelona, Spain

  3. 3

    Universidad Carlos III de Madrid, Dpto. de Informática, Escuela Politécnica Superior, Madrid, Spain

  4. 4

    Universidad de La Laguna, Dpto. de Estadística, I.O. y Computación, La Laguna, Spain

  5. 5

    Universidad de Extremadura, Dpto. de Tecnologías de Computadores y Comunicaciones, Escuela Politécnica, Cáceres, Spain

Author Information

  1. Universidad de Extremadura, Dpto. de Tecnologías de Computadores y Comunicaciones, Escuela Politécnica, Cáceres, Spain

Publication History

  1. Published Online: 16 MAY 2008
  2. Published Print: 6 FEB 2009

Book Series:

  1. Wiley Series on Parallel and Distributed Computing

Book Series Editors:

  1. Albert Y. Zomaya

ISBN Information

Print ISBN: 9780470293324

Online ISBN: 9780470411353

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Keywords:

  • recursive least squares (RLS);
  • sunspot series;
  • parallel adaptive recursive least squares (PARLS)

Summary

This chapter contains sections titled:

  • Introduction

  • Time Series Identification

  • Optimization Problem

  • Algorithmic Proposal

  • Experimental Analysis

  • Conclusions

  • References