| 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 |
| References: | 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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