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 -