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Learning recurrent neural models with minimal complexity.

Research output: Contribution to journal › Article › peer-review

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Learning recurrent neural models with minimal complexity. / Giese, M.A.
In: Neurocomputing, Vol. 52-54, 01.06.2003, p. 277-283.

Research output: Contribution to journal › Article › peer-review

HarvardHarvard

Giese, MA 2003, 'Learning recurrent neural models with minimal complexity.', Neurocomputing, vol. 52-54, pp. 277-283. https://doi.org/10.1016/S0925-2312(02)00769-5

APA

Giese, M. A. (2003). Learning recurrent neural models with minimal complexity. Neurocomputing, 52-54, 277-283. https://doi.org/10.1016/S0925-2312(02)00769-5

CBE

Giese MA. 2003. Learning recurrent neural models with minimal complexity. Neurocomputing. 52-54:277-283. https://doi.org/10.1016/S0925-2312(02)00769-5

MLA

Giese, M.A. "Learning recurrent neural models with minimal complexity.". Neurocomputing. 2003, 52-54. 277-283. https://doi.org/10.1016/S0925-2312(02)00769-5

VancouverVancouver

Giese MA. Learning recurrent neural models with minimal complexity. Neurocomputing. 2003 Jun 1;52-54:277-283. doi: 10.1016/S0925-2312(02)00769-5

Author

Giese, M.A. / Learning recurrent neural models with minimal complexity. In: Neurocomputing. 2003 ; Vol. 52-54. pp. 277-283.

RIS

TY - JOUR

T1 - Learning recurrent neural models with minimal complexity.

AU - Giese, M.A.

PY - 2003/6/1

Y1 - 2003/6/1

KW - COMPUTER SCIENCE

KW - ARTIFICIAL INTELLIGENCE

U2 - 10.1016/S0925-2312(02)00769-5

DO - 10.1016/S0925-2312(02)00769-5

M3 - Article

VL - 52-54

SP - 277

EP - 283

JO - Neurocomputing

JF - Neurocomputing

SN - 0925-2312

ER -