Learning recurrent neural models with minimal complexity.
Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid
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Learning recurrent neural models with minimal complexity. / Giese, M.A.
Yn: Neurocomputing, Cyfrol 52-54, 01.06.2003, t. 277-283.
Yn: Neurocomputing, Cyfrol 52-54, 01.06.2003, t. 277-283.
Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid
HarvardHarvard
Giese, MA 2003, 'Learning recurrent neural models with minimal complexity.', Neurocomputing, cyfrol. 52-54, tt. 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 Meh 1;52-54:277-283. doi: 10.1016/S0925-2312(02)00769-5
Author
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 -