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Strauß, T., "Alternative Konvergenzmaße für die Beschreibung des Verhaltens von Echo - State - Netzen", insitute for mathematics, vol. Diploma, Rostock, University of Rostock, pp. 68, 05/2009. Abstract  Download: Diplomarbeit T. Strauß.pdf (1.35 MB)
Kücükemre, A. U., Echo State Networks for Adaptive Filtering, : University of Applied Sciences Bonn-Rhein-Sieg, 2006. Abstract  Download: Kucukemre.pdf (1.11 MB)
Vreeken, J., On real-world temporal pattern recognition using Liquid State Machines, : Institute for Information and Computing Sciences, Utrecht University, Submitted.
Lukoševičius, M., "Reservoir Computing and Self-Organized Neural Hierarchies", School of Engineering and Science, vol. PhD: Jacobs University Bremen, 2012. Abstract  Download: Mantas_Lukosevicius_PhD_thesis.pdf (3.13 MB)
Antonelo, E. A., "Reservoir Computing Architectures for Modeling Robot Navigation Systems", Department of Electronic and Information Systems , vol. PhD, Gent, Universiteit Gent, 2011. Abstract  Download: PhD_Eric_final.pdf (21.33 MB)
Verstraeten, D., "Reservoir Computing: computation with dynamical systems", Electronics and Information Systems, Gent, Ghent University, pp. 190, 2009.  Download: dvrstrae_organic.pdf (7.23 MB)
Lukoševičius, M., Echo state networks with trained feedbacks, , no. 4: Jacobs University Bremen, February, 2007.
Li, J., and H. Jaeger, "Minimal Energy Control of an ESN Pattern Generator", Jacobs University Technical Report, no. 26: Jacobs University Bremen, 2011. Abstract
Jaeger, H., "Short term memory in echo state networks", GMD Report 152: German National Research Center for Information Technology, 2001.
Jaeger, H., "Tutorial on training recurrent neural networks, covering {BPTT}, {RTRL}, {EKF} and the ``echo state network'' approach", GMD Report 159: German National Research Center for Information Technology, pp. 48 pp., 2002.
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