Red de estado de eco (Spanish Wikipedia)

Analysis of information sources in references of the Wikipedia article "Red de estado de eco" in Spanish language version.

refsWebsite

Global rank Spanish rank

13doi.org

2^nd place

10semanticscholar.org

11^th place

79^th place

8nih.gov

4^th place

5harvard.edu

18^th place

34^th place

4arxiv.org

69^th place

148^th place

1columbia.edu

488^th place

747^th place

arxiv.org

Antonik, Piotr; Gulina, Marvyn; Pauwels, Jaël; Massar, Serge (2018). «Using a reservoir computer to learn chaotic attractors, with applications to chaos synchronization and cryptography». Phys. Rev. E 98 (1): 012215. Bibcode:2018PhRvE..98a2215A. PMID 30110744. S2CID 3616565. arXiv:1802.02844. doi:10.1103/PhysRevE.98.012215.
Doan N, Polifke W, Magri L (2020). «Physics-Informed Echo State Networks». Journal of Computational Science 47: 101237. S2CID 226246385. arXiv:2011.02280. doi:10.1016/j.jocs.2020.101237.
Pathak J, Wikner A, Russel R, Chandra S, Hunt B, Girvan M, Ott E (2018). «Hybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Model». Chaos 28 (4): 041101. Bibcode:2018Chaos..28d1101P. PMID 31906641. S2CID 3883587. arXiv:1803.04779. doi:10.1063/1.5028373.
Anantharaman, Ranjan; Ma, Yingbo; Gowda, Shashi; Laughman, Chris; Shah, Viral; Edelman, Alan; Rackauckas, Chris (2020). «Accelerating Simulation of Stiff Nonlinear Systems using Continuous-Time Echo State Networks». arXiv:2010.04004 [cs.LG].

columbia.edu

Jaeger, H.; Haas, H. (2004). «Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication». Science 304 (5667): 78-80. Bibcode:2004Sci...304...78J. PMID 15064413. S2CID 2184251. doi:10.1126/science.1091277.

doi.org

dx.doi.org

Jaeger, H.; Haas, H. (2004). «Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication». Science 304 (5667): 78-80. Bibcode:2004Sci...304...78J. PMID 15064413. S2CID 2184251. doi:10.1126/science.1091277.
Jaeger, Herbert (2007). «Echo state network». Scholarpedia 2 (9): 2330. Bibcode:2007SchpJ...2.2330J. doi:10.4249/scholarpedia.2330.
Chatzis, S. P.; Demiris, Y. (2011). «Echo State Gaussian Process». IEEE Transactions on Neural Networks 22 (9): 1435-1445. PMID 21803684. S2CID 8553623. doi:10.1109/TNN.2011.2162109.
Antonik, Piotr; Gulina, Marvyn; Pauwels, Jaël; Massar, Serge (2018). «Using a reservoir computer to learn chaotic attractors, with applications to chaos synchronization and cryptography». Phys. Rev. E 98 (1): 012215. Bibcode:2018PhRvE..98a2215A. PMID 30110744. S2CID 3616565. arXiv:1802.02844. doi:10.1103/PhysRevE.98.012215.
Maass W., Natschlaeger T., and Markram H. (2002). «Real-time computing without stable states: A new framework for neural computation based on perturbations». Neural Computation 14 (11): 2531-2560. PMID 12433288. S2CID 1045112. doi:10.1162/089976602760407955.
Schiller U.D. and Steil J. J. (2005). «Analyzing the weight dynamics of recurrent learning algorithms». Neurocomputing 63: 5-23. doi:10.1016/j.neucom.2004.04.006.
Dominey P.F. (1995). «Complex sensory-motor sequence learning based on recurrent state representation and reinforcement learning». Biol. Cybernetics 73 (3): 265-274. PMID 7548314. S2CID 1603500. doi:10.1007/BF00201428.
Buonomano, D.V. and Merzenich, M.M. (1995). «Temporal Information Transformed into a Spatial Code by a Neural Network with Realistic Properties». Science 267 (5200): 1028-1030. Bibcode:1995Sci...267.1028B. PMID 7863330. S2CID 12880807. doi:10.1126/science.7863330.
Schomaker, L. (1992). «A neural oscillator-network model of temporal pattern generation». Human Movement Science 11 (1–2): 181-192. doi:10.1016/0167-9457(92)90059-K.
Schmidhuber J., Gomez F., Wierstra D., and Gagliolo M. (2007). «Training recurrent networks by evolino». Neural Computation 19 (3): 757-779. PMID 17298232. S2CID 11745761. doi:10.1162/neco.2007.19.3.757.
Doan N, Polifke W, Magri L (2020). «Physics-Informed Echo State Networks». Journal of Computational Science 47: 101237. S2CID 226246385. arXiv:2011.02280. doi:10.1016/j.jocs.2020.101237.
Pathak J, Wikner A, Russel R, Chandra S, Hunt B, Girvan M, Ott E (2018). «Hybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Model». Chaos 28 (4): 041101. Bibcode:2018Chaos..28d1101P. PMID 31906641. S2CID 3883587. arXiv:1803.04779. doi:10.1063/1.5028373.
Doya K. (1992). «Bifurcations in the learning of recurrent neural networks». In Proceedings of 1992 IEEE Int. Symp. On Circuits and Systems 6: 2777-2780. ISBN 0-7803-0593-0. S2CID 15069221. doi:10.1109/ISCAS.1992.230622.

harvard.edu

adsabs.harvard.edu

Jaeger, H.; Haas, H. (2004). «Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication». Science 304 (5667): 78-80. Bibcode:2004Sci...304...78J. PMID 15064413. S2CID 2184251. doi:10.1126/science.1091277.
Jaeger, Herbert (2007). «Echo state network». Scholarpedia 2 (9): 2330. Bibcode:2007SchpJ...2.2330J. doi:10.4249/scholarpedia.2330.
Antonik, Piotr; Gulina, Marvyn; Pauwels, Jaël; Massar, Serge (2018). «Using a reservoir computer to learn chaotic attractors, with applications to chaos synchronization and cryptography». Phys. Rev. E 98 (1): 012215. Bibcode:2018PhRvE..98a2215A. PMID 30110744. S2CID 3616565. arXiv:1802.02844. doi:10.1103/PhysRevE.98.012215.
Buonomano, D.V. and Merzenich, M.M. (1995). «Temporal Information Transformed into a Spatial Code by a Neural Network with Realistic Properties». Science 267 (5200): 1028-1030. Bibcode:1995Sci...267.1028B. PMID 7863330. S2CID 12880807. doi:10.1126/science.7863330.
Pathak J, Wikner A, Russel R, Chandra S, Hunt B, Girvan M, Ott E (2018). «Hybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Model». Chaos 28 (4): 041101. Bibcode:2018Chaos..28d1101P. PMID 31906641. S2CID 3883587. arXiv:1803.04779. doi:10.1063/1.5028373.

nih.gov

ncbi.nlm.nih.gov

Jaeger, H.; Haas, H. (2004). «Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication». Science 304 (5667): 78-80. Bibcode:2004Sci...304...78J. PMID 15064413. S2CID 2184251. doi:10.1126/science.1091277.
Chatzis, S. P.; Demiris, Y. (2011). «Echo State Gaussian Process». IEEE Transactions on Neural Networks 22 (9): 1435-1445. PMID 21803684. S2CID 8553623. doi:10.1109/TNN.2011.2162109.
Antonik, Piotr; Gulina, Marvyn; Pauwels, Jaël; Massar, Serge (2018). «Using a reservoir computer to learn chaotic attractors, with applications to chaos synchronization and cryptography». Phys. Rev. E 98 (1): 012215. Bibcode:2018PhRvE..98a2215A. PMID 30110744. S2CID 3616565. arXiv:1802.02844. doi:10.1103/PhysRevE.98.012215.
Maass W., Natschlaeger T., and Markram H. (2002). «Real-time computing without stable states: A new framework for neural computation based on perturbations». Neural Computation 14 (11): 2531-2560. PMID 12433288. S2CID 1045112. doi:10.1162/089976602760407955.
Dominey P.F. (1995). «Complex sensory-motor sequence learning based on recurrent state representation and reinforcement learning». Biol. Cybernetics 73 (3): 265-274. PMID 7548314. S2CID 1603500. doi:10.1007/BF00201428.
Buonomano, D.V. and Merzenich, M.M. (1995). «Temporal Information Transformed into a Spatial Code by a Neural Network with Realistic Properties». Science 267 (5200): 1028-1030. Bibcode:1995Sci...267.1028B. PMID 7863330. S2CID 12880807. doi:10.1126/science.7863330.
Schmidhuber J., Gomez F., Wierstra D., and Gagliolo M. (2007). «Training recurrent networks by evolino». Neural Computation 19 (3): 757-779. PMID 17298232. S2CID 11745761. doi:10.1162/neco.2007.19.3.757.
Pathak J, Wikner A, Russel R, Chandra S, Hunt B, Girvan M, Ott E (2018). «Hybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Model». Chaos 28 (4): 041101. Bibcode:2018Chaos..28d1101P. PMID 31906641. S2CID 3883587. arXiv:1803.04779. doi:10.1063/1.5028373.

semanticscholar.org

api.semanticscholar.org

Jaeger, H.; Haas, H. (2004). «Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication». Science 304 (5667): 78-80. Bibcode:2004Sci...304...78J. PMID 15064413. S2CID 2184251. doi:10.1126/science.1091277.
Chatzis, S. P.; Demiris, Y. (2011). «Echo State Gaussian Process». IEEE Transactions on Neural Networks 22 (9): 1435-1445. PMID 21803684. S2CID 8553623. doi:10.1109/TNN.2011.2162109.
Antonik, Piotr; Gulina, Marvyn; Pauwels, Jaël; Massar, Serge (2018). «Using a reservoir computer to learn chaotic attractors, with applications to chaos synchronization and cryptography». Phys. Rev. E 98 (1): 012215. Bibcode:2018PhRvE..98a2215A. PMID 30110744. S2CID 3616565. arXiv:1802.02844. doi:10.1103/PhysRevE.98.012215.
Maass W., Natschlaeger T., and Markram H. (2002). «Real-time computing without stable states: A new framework for neural computation based on perturbations». Neural Computation 14 (11): 2531-2560. PMID 12433288. S2CID 1045112. doi:10.1162/089976602760407955.
Dominey P.F. (1995). «Complex sensory-motor sequence learning based on recurrent state representation and reinforcement learning». Biol. Cybernetics 73 (3): 265-274. PMID 7548314. S2CID 1603500. doi:10.1007/BF00201428.
Buonomano, D.V. and Merzenich, M.M. (1995). «Temporal Information Transformed into a Spatial Code by a Neural Network with Realistic Properties». Science 267 (5200): 1028-1030. Bibcode:1995Sci...267.1028B. PMID 7863330. S2CID 12880807. doi:10.1126/science.7863330.
Schmidhuber J., Gomez F., Wierstra D., and Gagliolo M. (2007). «Training recurrent networks by evolino». Neural Computation 19 (3): 757-779. PMID 17298232. S2CID 11745761. doi:10.1162/neco.2007.19.3.757.
Doan N, Polifke W, Magri L (2020). «Physics-Informed Echo State Networks». Journal of Computational Science 47: 101237. S2CID 226246385. arXiv:2011.02280. doi:10.1016/j.jocs.2020.101237.
Pathak J, Wikner A, Russel R, Chandra S, Hunt B, Girvan M, Ott E (2018). «Hybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Model». Chaos 28 (4): 041101. Bibcode:2018Chaos..28d1101P. PMID 31906641. S2CID 3883587. arXiv:1803.04779. doi:10.1063/1.5028373.
Doya K. (1992). «Bifurcations in the learning of recurrent neural networks». In Proceedings of 1992 IEEE Int. Symp. On Circuits and Systems 6: 2777-2780. ISBN 0-7803-0593-0. S2CID 15069221. doi:10.1109/ISCAS.1992.230622.