Author:
Boccato Levy,Lopes Amauri,Attux Romis,Von Zuben Fernando J.
Subject
Artificial Intelligence,Cognitive Neuroscience
Reference30 articles.
1. Boccato, L., Lopes, A., Attux, R., & Von Zuben, F. J. (2011). An echo state network architecture based on Volterra filtering and PCA with application to the channel equalization problem. In Proceedings of the int. joint conf. on neural networks, IJCNN 2011 (pp. 580–587).
2. Cavalcante, C. C., Montalvão, J. R., Dorizzi, B., & Mota, J. C. M. (2000). A neural predictor for blind equalization in digital communications. In Adaptive Systems for Signal Processing. Communications and Control, AS-SPCC’00 (pp. 347–351).
3. Ferrari, R., Panazio, C., Attux, R., Cavalcante, C., de Castro, L., & Von Zuben, F. et al. (2003). Unsupervised channel equalization using fuzzy prediction-error filters. In NNSP’03 (pp. 869–878).
4. Ferrari, R., Suyama, R., Lopes, R., Attux, R., & Romano, J. (2008). An optimal MMSE fuzzy predictor for SISO and MIMO blind equalization. In First IAPR workshop on cognitive information processing (pp. 86–91).
5. Approximation of dynamical systems by continuous time recurrent neural networks;Funahashi;Neural Networks,1993
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