Convergence Properties of Self-organizing Neural Networks

نویسندگان

  • Roberto Horowitz
  • Luis Alvarez
چکیده

In this paper we analyze the convergence properties of a class of self-organizing neural networks, introduced and popularized by Kohonen, using the ODE approach. It is shown that Kohonen's learning law converges to the best locally a ne feature map. A new integrally distributed self-organizing learning law which converges to the equiprobable feature map for inputs which have arbitrary random probability distribution functions is presented.

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تاریخ انتشار 2007