Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications
Reference45 articles.
1. Analysis of Observed Chaotic Data;Abarbanel,1997
2. T. Adali, Why a nonlinear solution for a linear problem?, in: Proceedings of IEEE Workshop on Neural Networks for Signal Processing, 1999, pp. 157–165.
3. S. Basterrech, C. Fyfe, G. Rubino, Self-organizing maps and scale-invariant maps in echo state networks, in: 2011 11th International Conference on Intelligent Systems Design and Applications (ISDA), 2011, pp. 94–99.
4. An information-maximization approach to blind separation and blind deconvolution;Bell;Neural Comput.,1995
5. L. Boccato, A. Lopes, R. Attux, F.J. Von Zuben, An echo state network architecture based on Volterra filtering and PCA with application to the channel equalization problem, in: The 2011 International Joint Conference on Neural Networks (IJCNN), 2011, pp. 580–587.
Cited by
18 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Enhancing Financial Risk Prediction Through Echo State Networks and Differential Evolutionary Algorithms in the Digital Era;Journal of the Knowledge Economy;2024-06-13
2. Time Series Classification Based on Forward Echo State Convolution Network;Neural Processing Letters;2024-05-11
3. A double-cycle echo state network topology for time series prediction;Chaos: An Interdisciplinary Journal of Nonlinear Science;2023-09-01
4. Reservoir Self Organizing Map;2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS);2022-11-29
5. SELF-ORGANIZING RESERVOIR NETWORK FOR ACTION RECOGNITION;Malaysian Journal of Computer Science;2022-07-27