SOAN: Self organizing with adaptive neighborhood neural network

  • R. Iglesias
  • S. Barro
Plasticity Phenomena (Maturing, Learning & Memory)
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1606)


In this work we describe the design and functioning of a new neural network based on vector quantification. This network, which we call SOAN (Self Organizing with Adaptative Neigborhood) has a greater degree of learning flexibility due to the use of an interaction radius between neurones which varies spatially and temporally, and an adaptative neighbourhood function. Secondly, we have introduced mechanisms into the network with the aim of guaranteeing that all of its neurones contribute as far as possible in reducing the quantification error. Finally, we have carried out several experiments obtaining highly favourable results, which after having been contrasted with those obtained with the application of the SOM network, confirm the utility and advantages of our approach.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • R. Iglesias
    • 1
  • S. Barro
    • 1
  1. 1.Departmento de Electrónica e Computación Facultade de FísicaUniversidade de Santiago de CompostelaSantiagoSpain

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