A Constructive Algorithm for Real Valued Multi-category Classification Problems

  • H. Poulard
  • N. Hernandez
Conference paper


In this paper, an overview of a new constructive algorithm is proposed. Most common binary-unit based constructive algorithms are faced with 3 major drawbacks: binary inputs, only one output and a complex connectivity. The proposed algorithm aims to overcome these problems. An extension to multiple outputs of the sequential learning algorithm in combination with the Barycentric correction procedure is used. The performance of this new algorithm is evaluated in comparison with cascade correlation, on the Vowel classification benchmark.


Hide Layer Output Neuron Sequential Learning Target Vector Constructive Algorithm 
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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Copyright information

© Springer-Verlag Wien 1998

Authors and Affiliations

  • H. Poulard
    • 1
    • 2
  • N. Hernandez
    • 2
  1. 1.ACTIAToulouseFrance
  2. 2.Laboratoire d’Analyse et d’Architecture des SystèmesCNRSToulouseFrance

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