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Volumn 7700 LECTURE NO, Issue , 2012, Pages 659-686

A practical guide to applying echo state networks

Author keywords

[No Author keywords available]

Indexed keywords

GRADIENT METHODS;

EID: 84872502995     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-35289-8_36     Document Type: Article
Times cited : (734)

References (54)
  • 1
    • 0028392483 scopus 로고
    • Learning long-term dependencies with gradient descent is difficult
    • Bengio, Y., Simard, P., Frasconi, P.: Learning long-term dependencies with gradient descent is difficult. IEEE Transactions on Neural Networks 5(2), 157-166 (1994)
    • (1994) IEEE Transactions on Neural Networks , vol.5 , Issue.2 , pp. 157-166
    • Bengio, Y.1    Simard, P.2    Frasconi, P.3
  • 2
    • 85162384813 scopus 로고    scopus 로고
    • Algorithms for hyper-parameter optimization
    • Shawe-Taylor, J., Zemel, R.S., Bartlett, P., Pereira, F.C.N., Weinberger, K.Q. (eds.)
    • Bergstra, J.S., Bardenet, R., Bengio, Y., Kegl, B.: Algorithms for hyper-parameter optimization. In: Shawe-Taylor, J., Zemel, R.S., Bartlett, P., Pereira, F.C.N., Weinberger, K.Q. (eds.) Advances in Neural Information Processing Systems 23 (NIPS 2010), pp. 2546-2554 (2011)
    • (2011) Advances in Neural Information Processing Systems 23 (NIPS 2010 , pp. 2546-2554
    • Bergstra, J.S.1    Bardenet, R.2    Bengio, Y.3    Kegl, B.4
  • 5
    • 80052694735 scopus 로고    scopus 로고
    • The copula echo state network
    • Chatzis, S.P., Demiris, Y.: The copula echo state network. Pattern Recognition 45(1), 570-577 (2012)
    • (2012) Pattern Recognition , vol.45 , Issue.1 , pp. 570-577
    • Chatzis, S.P.1    Demiris, Y.2
  • 7
    • 0034120139 scopus 로고    scopus 로고
    • Neural network processing of natural language: I. Sensitivity to serial, temporal and abstract structure of language in the infant
    • Dominey, P.F., Ramus, F.: Neural network processing of natural language: I. sensitivity to serial, temporal and abstract structure of language in the infant. Language and Cognitive Processes 15(1), 87-127 (2000) (Pubitemid 30353511)
    • (2000) Language and Cognitive Processes , vol.15 , Issue.1 , pp. 87-127
    • Dominey, P.F.1    Ramus, F.2
  • 12
    • 83455164028 scopus 로고    scopus 로고
    • Recurrent kernel machines: Computing with infinite echo state networks
    • Hermans, M., Schrauwen, B.: Recurrent kernel machines: Computing with infinite echo state networks. Neural Computation 24(1), 104-133 (2012)
    • (2012) Neural Computation , vol.24 , Issue.1 , pp. 104-133
    • Hermans, M.1    Schrauwen, B.2
  • 13
    • 0031573117 scopus 로고    scopus 로고
    • Long short-term memory
    • Hochreiter, S., Schmidhuber, J.: Long short-term memory. Neural Computation 9(8), 1735-1780 (1997) (Pubitemid 127462305)
    • (1997) Neural Computation , vol.9 , Issue.8 , pp. 1735-1780
    • Hochreiter, S.1    Schmidhuber, J.2
  • 14
    • 73949157176 scopus 로고    scopus 로고
    • Echo state networks with filter neurons and a delay and sum readout
    • Holzmann, G., Hauser, H.: Echo state networks with filter neurons and a delay and sum readout. Neural Networks 23(2), 244-256 (2010)
    • (2010) Neural Networks , vol.23 , Issue.2 , pp. 244-256
    • Holzmann, G.1    Hauser, H.2
  • 16
    • 1842436050 scopus 로고    scopus 로고
    • The "echo state" approach to analysing and training recurrent neural networks
    • German National Research Center for Information Technology
    • Jaeger, H.: The "echo state" approach to analysing and training recurrent neural networks. Technical Report GMD Report 148, German National Research Center for Information Technology (2001)
    • (2001) Technical Report GMD Report , vol.148
    • Jaeger, H.1
  • 18
    • 78349289898 scopus 로고    scopus 로고
    • Adaptive nonlinear system identification with echo state networks
    • MIT Press Cambridge
    • Jaeger, H.: Adaptive nonlinear system identification with echo state networks. In: Advances in Neural Information Processing Systems 15 (NIPS 2002), pp. 593-600. MIT Press, Cambridge (2003)
    • (2003) Advances in Neural Information Processing Systems (NIPS 2002) , vol.15 , pp. 593-600
    • Jaeger, H.1
  • 19
    • 1842421269 scopus 로고    scopus 로고
    • Harnessing nonlinearity: Predicting chaotic systems and saving energy in wireless communication
    • DOI 10.1126/science.1091277
    • Jaeger, H., Haas, H.: Harnessing nonlinearity: Predicting chaotic systems and saving energy in wireless communication. Science 304(5667), 78-80 (2004) (Pubitemid 38455427)
    • (2004) Science , vol.304 , Issue.5667 , pp. 78-80
    • Jaeger, H.1    Haas, H.2
  • 20
    • 78649380774 scopus 로고    scopus 로고
    • Generating exponentially many periodic attractors with linearly growing echo state networks
    • No. 3 Jacobs University Bremen
    • Jaeger, H.: Generating exponentially many periodic attractors with linearly growing echo state networks. Technical Report No. 3, Jacobs University Bremen (2006)
    • (2006) Technical Report
    • Jaeger, H.1
  • 21
    • 58049158689 scopus 로고    scopus 로고
    • Echo state network
    • Jaeger, H.: Echo state network. Scholarpedia 2(9), 2330 (2007)
    • (2007) Scholarpedia , vol.2 , Issue.9 , pp. 2330
    • Jaeger, H.1
  • 22
    • 34249938474 scopus 로고    scopus 로고
    • Optimization and applications of echo state networks with leaky- integrator neurons
    • DOI 10.1016/j.neunet.2007.04.016, PII S089360800700041X, Echo State Networks and Liquid State Machines
    • Jaeger, H., Lukoševičius, M., Popovici, D., Siewert, U.: Optimization and applications of echo state networks with leaky-integrator neurons. Neural Networks 20(3), 335-352 (2007) (Pubitemid 46876638)
    • (2007) Neural Networks , vol.20 , Issue.3 , pp. 335-352
    • Jaeger, H.1    Lukosevicius, M.2    Popovici, D.3    Siewert, U.4
  • 23
    • 84872523073 scopus 로고    scopus 로고
    • Long short-term memory in echo state networks: Details of a simulation study
    • Jacobs University Bremen
    • Jaeger, H.: Long short-term memory in echo state networks: Details of a simulation study. Technical Report No. 27, Jacobs University Bremen (2012)
    • (2012) Technical Report No. 27
    • Jaeger, H.1
  • 24
    • 84943347456 scopus 로고
    • Pracniques: Further remarks on reducing truncation errors
    • Kahan, W.: Pracniques: Further remarks on reducing truncation errors. Communications of the ACM 8(1), 40 (1965)
    • (1965) Communications of the ACM , vol.8 , Issue.1 , pp. 40
    • Kahan, W.1
  • 25
    • 84872515837 scopus 로고    scopus 로고
    • Master's thesis, University of Applied Sciences Bohn-Rhein-Sieg, Germany
    • Kucukemre, A.U.: Echo state networks for adaptive filtering. Master's thesis, University of Applied Sciences Bohn-Rhein-Sieg, Germany (2006), http://reservoir-computing.org/publications/2006-echo-state-networks-adaptive- filtering
    • (2006) Echo state networks for adaptive filtering
    • Kucukemre, A.U.1
  • 26
    • 0001857994 scopus 로고    scopus 로고
    • Orr, G.B., Muller, K.-R. (eds.) NIPS-WS 1996. LNCS Springer, Heidelberg
    • LeCun, Y.A., Bottou, L., Orr, G.B., Muller, K.-R.: Efficient BackProp. In: Orr, G.B., Muller, K.-R. (eds.) NIPS-WS 1996. LNCS, vol. 1524, pp. 9-50. Springer, Heidelberg (1998)
    • (1998) Efficient BackProp , vol.1524 , pp. 9-50
    • LeCun, Y.A.1    Bottou, L.2    Orr, G.B.3    Muller, K.-R.4
  • 29
    • 68649088777 scopus 로고    scopus 로고
    • Reservoir computing approaches to recurrent neural network training
    • Lukoševičius, M., Jaeger, H.: Reservoir computing approaches to recurrent neural network training. Computer Science Review 3(3), 127-149 (2009)
    • (2009) Computer Science Review , vol.3 , Issue.3 , pp. 127-149
    • Lukoševičius, M.1    Jaeger, H.2
  • 32
    • 0036834701 scopus 로고    scopus 로고
    • Real-time computing without stable states: A new framework for neural computation based on perturbations
    • Maass, W., Natschlager, T., Markram, H.: Real-time computing without stable states: A new framework for neural computation based on perturbations. Neural Computation 14(11), 2531-2560 (2002)
    • (2002) Neural Computation , vol.14 , Issue.11 , pp. 2531-2560
    • Maass, W.1    Natschlager, T.2    Markram, H.3
  • 33
    • 84864035825 scopus 로고    scopus 로고
    • Principles of real-time computing with feedback applied to cortical microcircuit models
    • NIPS 2005 MIT Press, Cambridge
    • Maass, W., Joshi, P., Sontag, E.D.: Principles of real-time computing with feedback applied to cortical microcircuit models. In: Advances in Neural Information Processing Systems 18 (NIPS 2005), pp. 835-842. MIT Press, Cambridge (2006)
    • (2006) Advances in Neural Information Processing Systems , vol.18 , pp. 835-842
    • Maass, W.1    Joshi, P.2    Sontag, E.D.3
  • 35
    • 84872565347 scopus 로고    scopus 로고
    • Montavon, G., Orr, G.B., Muller, K.-R. (eds.) NN: Tricks of the Trade, 2nd edn. LNCS Springer, Heidelberg
    • Martens, J., Sutskever, I.: Training Deep and Recurrent Networks with Hessianfree Optimization. In: Montavon, G., Orr, G.B., Muller, K.-R. (eds.) NN: Tricks of the Trade, 2nd edn. LNCS, vol. 7700, pp. 479-535. Springer, Heidelberg (2012)
    • (2012) Training Deep and Recurrent Networks with Hessianfree Optimization , vol.7700 , pp. 479-535
    • Martens, J.1    Sutskever, I.2
  • 36
    • 33846023013 scopus 로고    scopus 로고
    • Analysis and design of echo state networks
    • Ozturk, M.C., Xu, D., Principe, J.C.: Analysis and design of echo state networks. Neural Computation 19(1), 111-138 (2007)
    • (2007) Neural Computation , vol.19 , Issue.1 , pp. 111-138
    • Ozturk, M.C.1    Xu, D.2    Principe, J.C.3
  • 37
    • 84859722704 scopus 로고    scopus 로고
    • A constrained regularization approach for input-driven recurrent neural networks
    • Reinhart, F.R., Steil, J.J.: A constrained regularization approach for input-driven recurrent neural networks. Differential Equations and Dynamical Systems 19, 27-46 (2011)
    • (2011) Differential Equations and Dynamical Systems , vol.19 , pp. 27-46
    • Reinhart, F.R.1    Steil, J.J.2
  • 41
    • 38149062901 scopus 로고    scopus 로고
    • The Introduction of Time-Scales in Reservoir Computing, Applied to Isolated Digits Recognition
    • de Sa, J.M., Alexandre, L.A., Duch, W., Mandic, D.P. (eds.) Springer, Heidelberg
    • Schrauwen, B., Defour, J., Verstraeten, D., Van Campenhout, J.: The Introduction of Time-Scales in Reservoir Computing, Applied to Isolated Digits Recognition. In: De Sa, J.M., Alexandre, L.A., Duch, W., Mandic, D.P. (eds.) ICANN 2007. LNCS, vol. 4668, pp. 471-479. Springer, Heidelberg (2007)
    • (2007) ICANN 2007. LNCS , vol.4668 , pp. 471-479
    • Schrauwen, B.1    Defour, J.2    Verstraeten, D.3    Van Campenhout, J.4
  • 42
    • 34047166022 scopus 로고    scopus 로고
    • Support vector echo-state machine for chaotic time-series prediction
    • DOI 10.1109/TNN.2006.885113
    • Shi, Z., Han, M.: Support vector echo-state machine for chaotic time-series prediction. IEEE Transactions on Neural Networks 18(2), 359-372 (2007) (Pubitemid 46522562)
    • (2007) IEEE Transactions on Neural Networks , vol.18 , Issue.2 , pp. 359-372
    • Shi, Z.1    Han, M.2
  • 43
    • 84872566291 scopus 로고    scopus 로고
    • Echo-state networks with band-pass neurons: Towards generic time-scale-independent reservoir structures
    • Siewert, U., Wustlich, W.: Echo-state networks with band-pass neurons: Towards generic time-scale-independent reservoir structures. Internal status report, PLANET intelligent systems GmbH (2007), http://reslab.elis.ugent.be/ node/112
    • (2007) Internal status report, PLANET intelligent systems GmbH
    • Siewert, U.1    Wustlich, W.2
  • 46
    • 68949147577 scopus 로고    scopus 로고
    • Generating coherent patterns of activity from chaotic neural networks
    • Sussillo, D., Abbott, L.F.: Generating coherent patterns of activity from chaotic neural networks. Neuron 63(4), 544-557 (2009)
    • (2009) Neuron , vol.63 , Issue.4 , pp. 544-557
    • Sussillo, D.1    Abbott, L.F.2
  • 49
    • 34249815487 scopus 로고    scopus 로고
    • An experimental unification of reservoir computing methods
    • DOI 10.1016/j.neunet.2007.04.003, PII S089360800700038X, Echo State Networks and Liquid State Machines
    • Verstraeten, D., Schrauwen, B., D'Haene, M., Stroobandt, D.: An experimental unification of reservoir computing methods. Neural Networks 20(3), 391-403 (2007) (Pubitemid 46856109)
    • (2007) Neural Networks , vol.20 , Issue.3 , pp. 391-403
    • Verstraeten, D.1    Schrauwen, B.2    D'Haene, M.3    Stroobandt, D.4
  • 51
    • 0025503558 scopus 로고
    • Backpropagation through time: What it does and how to do it
    • Werbos, P.J.: Backpropagation through time: What it does and how to do it. Proceedings of the IEEE 78(10), 1550-1560 (1990)
    • (1990) Proceedings of the IEEE , vol.78 , Issue.10 , pp. 1550-1560
    • Werbos, P.J.1
  • 52
    • 0001202594 scopus 로고
    • A learning algorithm for continually running fully recurrent neural networks
    • Williams, R.J., Zipser, D.: A learning algorithm for continually running fully recurrent neural networks. Neural Computation 1, 270-280 (1989)
    • (1989) Neural Computation , vol.1 , pp. 270-280
    • Williams, R.J.1    Zipser, D.2
  • 54
    • 84872564491 scopus 로고    scopus 로고
    • Montavon, G., Orr, G.B., Muller, K.-R. (eds.) NN: Tricks of the Trade, 2nd edn. LNCS Springer, Heidelberg
    • Zimmermann, H.-G., Tietz, C., Grothmann, R.: Forecasting with Recurrent Neural Networks: 12 Tricks. In: Montavon, G., Orr, G.B., Muller, K.-R. (eds.) NN: Tricks of the Trade, 2nd edn. LNCS, vol. 7700, pp. 687-707. Springer, Heidelberg (2012)
    • (2012) Forecasting with Recurrent Neural Networks: 12 Tricks , vol.7700 , pp. 687-707
    • Zimmermann, H.-G.1    Tietz, C.2    Grothmann, R.3


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