Neural Network Analysis of Russian Parliament Voting Patterns
نویسندگان
چکیده
The recurrent neural network capable to provide the Boolean factor analysis of the binary data sets of high dimension and complexity is applied to discovery of voting patterns in the Russian parliament. The new method of sequential factor extraction based on the Lyapunov function is discussed in deep. Efficiency of the new method is shown on simulated data and on real data from Russian parliament as well.
منابع مشابه
Neural Network Boolean Factor Analysis and Application
The recurrent Neural network capable to provide the Boolean factor analysis of the binary data sets of high dimension and complexity is applied to roll-call voting problem. The method of sequential factor extraction, based on the Lyapunov function is discussed in deep. Efficiency of this attempt is shown on simulated data and on real data from Russian parliament as well. Key–Words: Hopfield Neu...
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