Optimizing Extreme Learning Machines via Ridge Regression and Batch Intrinsic Plasticity

Neumann K, Steil JJ (2013)
Neurocomputing 102(Special Issue: Advances in Extreme Learning Machines (ELM 2011): 23-30.

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Zeitschriftenaufsatz | Veröffentlicht | Englisch
Stichworte
Erscheinungsjahr
Zeitschriftentitel
Neurocomputing
Band
102
Zeitschriftennummer
Special Issue: Advances in Extreme Learning Machines (ELM 2011)
Seite
23-30
Konferenz
Advances in Extreme Learning Machines (ELM 2011)
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PUB-ID

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Neumann K, Steil JJ. Optimizing Extreme Learning Machines via Ridge Regression and Batch Intrinsic Plasticity. Neurocomputing. 2013;102(Special Issue: Advances in Extreme Learning Machines (ELM 2011):23-30.
Neumann, K., & Steil, J. J. (2013). Optimizing Extreme Learning Machines via Ridge Regression and Batch Intrinsic Plasticity. Neurocomputing, 102(Special Issue: Advances in Extreme Learning Machines (ELM 2011), 23-30. doi:10.1016/j.neucom.2012.01.041
Neumann, K., and Steil, J. J. (2013). Optimizing Extreme Learning Machines via Ridge Regression and Batch Intrinsic Plasticity. Neurocomputing 102, 23-30.
Neumann, K., & Steil, J.J., 2013. Optimizing Extreme Learning Machines via Ridge Regression and Batch Intrinsic Plasticity. Neurocomputing, 102(Special Issue: Advances in Extreme Learning Machines (ELM 2011), p 23-30.
K. Neumann and J.J. Steil, “Optimizing Extreme Learning Machines via Ridge Regression and Batch Intrinsic Plasticity”, Neurocomputing, vol. 102, 2013, pp. 23-30.
Neumann, K., Steil, J.J.: Optimizing Extreme Learning Machines via Ridge Regression and Batch Intrinsic Plasticity. Neurocomputing. 102, 23-30 (2013).
Neumann, Klaus, and Steil, Jochen J. “Optimizing Extreme Learning Machines via Ridge Regression and Batch Intrinsic Plasticity”. Neurocomputing 102.Special Issue: Advances in Extreme Learning Machines (ELM 2011) (2013): 23-30.
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2016-05-30T12:10:42Z