Genetic Programming and Evolvable Machines

, Volume 7, Issue 3, pp 285–286 | Cite as

Biologically Inspired Algorithms for Financial Modelling

Published by: Springer, A. Brabazon and M. O’Neill, 2006, ISBN 3-540-26252-0, $85
  • Mak Kaboudan
Book review


  1. 1.
    S.-H. Chen, L. Jain, and C.-C. Tai (eds.), Computational Economics: A Perspective from Computational Intelligence, Idea Group Publishing, 2005.Google Scholar
  2. 2.
    S.-H. Chen and P. P. Wang (eds.), Computational Intelligence in Economics and Finance, Springer, 2003.Google Scholar
  3. 3.
    P. J. Kaufman, New Trading Systems and Methods, 4th ed., John Wiley & Sons, 2005. [Includes trade station code with excel worksheet data.]Google Scholar
  4. 4.
    A. S. Soofi and L. Cao (eds.), Modelling and Forecasting Financial Data: Techniques of Nonlinear Dynamics, Springer, 2002.Google Scholar
  5. 5.
    P. D. McNelis, Neural Networks in Finance, 1st edn.: Gaining Predictive Edge in the Market, Academic Press, 2004.Google Scholar

Copyright information

© Springer Science + Business Media, LLC 2006

Authors and Affiliations

  • Mak Kaboudan
    • 1
  1. 1.School of BusinessUniversity of RedlandsRedlandsUSA

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