FTSET-a software tool for fault tolerance evaluation and improvement
暂无分享,去创建一个
[1] Fernando Morgado Dias,et al. A global model for fault tolerance of feedforward neural networks , 2008, ICIA 2008.
[2] Samir I. Shaheen,et al. Performance evaluation of a novel fault tolerance training algorithm , 1994, Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'94).
[3] Salvatore Cavalieri,et al. A novel learning algorithm which improves the partial fault tolerance of multilayer neural networks , 1999, Neural Networks.
[4] Fernando Morgado Dias,et al. Fault Tolerance Improvement through Architecture Change in Artificial Neural Networks , 2008, ISICA.
[5] Dias F. Morgado,et al. Fault Tolerance Simulation and Evaluation Tool for Artificial Neural Networks , 2008 .
[6] Dhananjay S. Phatak,et al. Investigating the Fault Tolerance of Neural Networks , 2005, Neural Computation.
[7] Kenneth P. Parker. The Boundary-Scan Handbook , 1992, Springer US.
[8] Samir I. Shaheen,et al. Generalization ability of fault tolerant feedforward neural nets , 1995, 1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century.
[9] Ulrich Rückert,et al. Tolerance of Radial Basis Functions Against Stuck-At-Faults , 2005, ICANN.
[10] Fernando Morgado Dias,et al. Artificial neural networks: a review of commercial hardware , 2004, Eng. Appl. Artif. Intell..
[11] Dhananjay S. Phatak,et al. Complete and partial fault tolerance of feedforward neural nets , 1995, IEEE Trans. Neural Networks.
[12] George Bolt,et al. Investigating Fault Tolerance in ArtificialNeural Networks , 1991 .
[13] Ahmed El-Amawy,et al. On Fault Tolerant Training of Feedforward Neural Networks , 1997, Neural Networks.
[14] S. Piche,et al. Robustness of feedforward neural networks , 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.
[15] Vincenzo Piuri,et al. Fault tolerance in neural networks: theoretical analysis and simulation results , 1991, [1991] Proceedings, Advanced Computer Technology, Reliable Systems and Applications.
[16] Daniel L. Palumbo,et al. Performance and fault-tolerance of neural networks for optimization , 1993, IEEE Trans. Neural Networks.