publications

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2011
Reis, L., Aguiar L., Baptista D., & Morgado D. F. (2011).  ANGE – Automatic Neural Generator. (Honkela, T., Duch W., Girolami M., & Kaski S., Ed.).Artificial Neural Networks and Machine Learning – ICANN 2011. 6792, 446-453.
2009
Hoelzle, G., & Morgado D. F. (2009).  Hardware Implementation of an Artificial Neural Network with an Embedded Microprocessor in a FPGA. 8th International Conference and Workshop on Ambient Intelligence and Embedded Systems.
Borralho, R., Fontes P., Antunes A., & Morgado D. F. (2009).  A Matlab Tool for Analyzing and Improving Fault Tolerance of Artificial Neural Networks. 2nd IFAC International Conference on Intelligent Control Systems and Signal Processing.
2008
Antunes, A., Morgado D. F., & Mota A. (2008).  Comparing the delay compensator approach with fractional dead-time modelling in distributed real-time control systems. 8th Portuguese Conference on Automatic Control.
Morgado, D. F., & Antunes A. (2008).  An empirical study of the test error versus training error in artificial neural networks. Proceedings of the 9th WSEAS International Conference on International Conference on Automation and Information. 266–271.
Morgado, D. F., & Antunes A. (2008).  Fault Tolerance Improvement through Architecture Change in Artificial Neural Networks. Proceedings of the 3rd International Symposium on Advances in Computation and Intelligence. 248–257.
Fontes, P., Borralho R., Antunes A., & Morgado D. F. (2008).  Fault Tolerance Simulation and Evaluation Tool for Artificial Neural Networks. 8th Portuguese Control Conference.
Morgado, D. F., & Antunes A. (2008).  A global model for fault tolerance of feedforward neural networks. Proceedings of the 9th WSEAS International Conference on International Conference on Automation and Information. 272–275.
Antunes, A., Morgado D. F., & Mota A. (2008).  A Neural Model for Delay Correction in a Distributed Control System. (Kůrková, V., Neruda R., & Koutník J., Ed.).Artificial Neural Networks - ICANN 2008. 5164, 11-20.
Morgado, D. F., & Antunes A. (2008).  Test error versus training error in artificial neural networks for systems affected by noise. International Journal of System Applications, Engineering and Development. 2(3), 83-90.

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