TY - GEN
A1 - Kryuchin, Oleg V.
A1 - Arzamastsev, Alexander A.
A1 - Troitzsch, Klaus G.
T1 - Comparing the efficiency of serial and parallel algorithms for training artificial neural networks using computer clusters
N2 - An estimation of the number of multiplication and addition operations for training artififfcial neural networks by means of consecutive and parallel algorithms on a computer cluster is carried out. The evaluation of the efficiency of these algorithms is developed. The multilayer perceptron, the Volterra network and the cascade-correlation network are used as structures of artififfcial neural networks. Different methods of non-linear programming such as gradient and non-gradient methods are used for the calculation of the weight coefficients.
T3 - Arbeitsberichte, FB Informatik - 2011,13
KW - parallel algorithms
KW - artififfcial neural networks
KW - estimation of algorithm efficiency
KW - computer clusters
Y1 - 2011
UR - https://kola.opus.hbz-nrw.de/frontdoor/index/index/docId/560
UR - https://nbn-resolving.org/urn:nbn:de:kola-5602
ER -