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Neural Processing Letters

, Volume 2, Issue 2, pp 27–30 | Cite as

Improving the Counterpropagation network performances

  • Alessandra Chiuderi
Article

Abstract

This paper deals with the problem of how input data normalization can affect the performances of the Counterpropagtion neural network. In the following, an example drawn from the landcover classification of remotely sensed images is presented and a solution, based on the Decorrelation Stretching technique, is proposed.

Keywords

Neural Network Artificial Intelligence Input Data Complex System Nonlinear Dynamics 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Kluwer Academic Publishers 1995

Authors and Affiliations

  • Alessandra Chiuderi
    • 1
  1. 1.Electronic Engineering DepartmentUniversity of FlorenceFirenzeItaly

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