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

 1. Lakhmi Jain, Anna Maria Fanelli, Recent Advances in Artificial Neural Networks Desing and Applications, CRC Press , Florida, USA, 2000.

2. Juan R. Rabunal, Julian Dorado, Artificial Neural Networks in Real-Life Applications, Idea Group Inc., London, United Kindom, 2006.

3. Mukesh Khare, S.M. Shiva Nagendra, Artificial Neural Networks in Vehicular Pollution Modelling, SpringerVerlag, Berlin, 2000.

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