THE PROBABILISTIC NEURAL NET NEURON’S NUMBER CALCULATIONS

Authors

  • Galina Shcherbacova
  • Victor Krylov
  • Oleg Logvinov

DOI:

https://doi.org/10.47839/ijc.11.2.559

Keywords:

Probabilistic neural net, clustering, compactness, neuron’s number, sub-gradient optimization method.

Abstract

The sub-gradient method of estimation of the number of the hidden layer neurons of a probabilistic neural network is suggested. This method allows evaluating the data compactness violation in λ-space. This evaluation based on the noise stability sub-gradient iterative optimization method. This method allows reducing the number of the hidden layer neurons and classification time.

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Published

2014-08-01

How to Cite

Shcherbacova, G., Krylov, V., & Logvinov, O. (2014). THE PROBABILISTIC NEURAL NET NEURON’S NUMBER CALCULATIONS. International Journal of Computing, 11(2), 137-144. https://doi.org/10.47839/ijc.11.2.559

Issue

2012, Volume 11, Issue 2

Section

Articles

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