A behavioral study of learning in standard SOM and in S-SOM

  • Authors:

  • Soukeina Ben Chikha;Kirmene Marzouki

  • Affiliations:

  • Faculty of Science of Tunis, Tunis, Tunisia;Institute of Applied Science and Technology of Sousse, Sousse, Tunisia

  • Venue:
  • IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
  • Year:
  • 2009

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Abstract

In this paper we establish the completion of a previously published work, in part by the same authors, in which we proposed a novel learning algorithm involving Self Organizing Map's (SOM) internal structure in the learning process. We present a statistical and a behavioral study of our proposed solution, and confirm its results on a breast cancer classification application. After establishing the mathematical foundations of the passage of input vectors, we show how to conclude better initial conditions leading to the generation of a unique feature map in standard SOM.