Design of Neural Networks

Author:

Moraga Claudio

Publisher

Springer Berlin Heidelberg

Reference26 articles.

1. Aizenberg, I.: Solving the parity n problem and other nonlinearly separable problems using a single universal binary neuron. Computational Intelligence. In: Reusch, B. (ed.) Theory and Applications, Springer, Berlin (2006)

2. Aizenberg, I., Moraga, C.: Multilayer feedforward neural network based on multi-valued neurons (MLMVN) and a backpropagation learning algorithm. Soft Computing 11(2), 169–183 (2007)

3. Alvarez-Sánchez, J.R.: Injecting knowledge into the solution of the two-spiral problem. Neural Computing and Applications 8, 265–272 (1999)

4. Allende, H., Moraga, C., Salas, R.: Artificial neural networks in forecasting: A comparative analysis. Kybernetika 38(6), 685–707 (2002)

5. Box, G.E., Jenkins, G.M.: Time series analysis: forecasting and control, Holden-Day, Oakland CA, USA (1976)

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1. Fast Learning Neural Network Intrusion Detection System;Scalability of Networks and Services;2009

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