Paper title:

Regression methods for determination of a multilayer neural network architecture

Published in: Issue 2, (Vol. 1) / 2007
Pages: 27-30
Author(s): Ostafe Dumitru, Vlad Sorin, Pascu Paul
Abstract. The paper presents the technique used to determine the architecture of a neuronal network by means of the regression methods. Starting from the experimental results obtained by grouping the input data a regression model is used to determine the number of hidden layers and the number of neurons on each layer.
Keywords: Regression Methods, Neural Networks, Hidden Layers, Clustering Methods

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