Neural Networks, Clustering Techniques, and Function Approximation Problems

  • Authors:
  • Jesús González;Ignacio Rojas;Héctor Pomares

  • Affiliations:
  • -;-;-

  • Venue:
  • ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
  • Year:
  • 2002

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Abstract

To date, clustering techniquesha ve alwaysb een oriented to solve classification and pattern recognition problems. However, some authorsha ve applied them unchanged to construct initial modelsfor function approximators. Nevertheless, classification and function approximation problems present quite different objectives. Therefore it is necessary to design new clustering algorithms specialized in the problem of function approximation.