Skip to main content
Log in

Adaptive learning of polynomial networks, genetic programming, backpropagation and Bayesian methods, series on genetic and evolutionary computation

Springer Science, New York, N. Nikolaev and H. Iba, 2006, Vol. XIV, 316 pp, ISBN 0:387-31239-0

  • Book Review
  • Published:
Genetic Programming and Evolvable Machines Aims and scope Submit manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Diego H. Milone.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Milone, D.H. Adaptive learning of polynomial networks, genetic programming, backpropagation and Bayesian methods, series on genetic and evolutionary computation. Genet Program Evolvable Mach 8, 289–291 (2007). https://doi.org/10.1007/s10710-007-9034-x

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10710-007-9034-x

Keywords

Navigation