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Simulating social objects with an artificialneural network using a computer cluster
Troitzsch, Klaus G.; Kryuchin, Oleg V.; Arzamastev, … - Universität <Koblenz - 2011
abilities on their personal characteristics. Thesimulation tool is the articial neural network (ANN) technology. Results of …
Persistent link: https://www.econbiz.de/10009353916
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Simulating medical objects simulationusing an artificial neural network whosestructure is based on adaptive resonancetheory
Kryuchin, Oleg V.; Arzamastev, Alexander A.; Zenkova, … - Universität <Koblenz - 2011
This paper describes articial neural networks which are based on the adaptiveresonance theory. The usage of these articial neural networks for classicationtasks is presented. The example uses is the classication of patient health fromthe results of general blood analysis.[...]
Persistent link: https://www.econbiz.de/10009353917
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Comparing the efficiency of serial andparallel algorithms for training artificialneural networks using computer clusters
Kryuchin, Oleg V.; Arzamastev, Alexander A.; Troitzsch, … - Universität <Koblenz - 2011
developed. The multilayer perceptron, the Volterra network and thecascade-correlation network are used as structures of articial …
Persistent link: https://www.econbiz.de/10009353918
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A parallel algorithm for selectingactivation functions of an artificial network
Kryuchin, Oleg V.; Arzamastev, Alexander A.; Troitzsch, … - Universität <Koblenz - 2011
This paper describes a parallel algorithm for selecting activation functionsof an articial network. For checking the …
Persistent link: https://www.econbiz.de/10009353919
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The prediction of currency exchange ratesusing artificial neural networks
Kryuchin, Oleg V.; Arzamastev, Alexander A.; Troitzsch, … - Universität <Koblenz - 2011
This paper describes the analysis of a neural network used to predict currencyexchange rates in comparison to technical … analysis. The neural network structuresused are a multilayer perceptron and a Volterra network.[...] …
Persistent link: https://www.econbiz.de/10009354105
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A universal simulatorbased on artificial neural networks forcomputer clusters
Kryuchin, Oleg V.; Arzamastev, Alexander A.; Troitzsch, … - Universität <Koblenz - 2011
This paper describes parallel algorithms for training articial neural networks.Possible levels of parallelity are presented. Experiments for checking the efficiencyof algorithms are discussed.[...]
Persistent link: https://www.econbiz.de/10009354107