Neural Network Boolean Factor Analysis and Application
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 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 Neural Network, Boolean Factor Analysis,Unsupervised Learning, Dimension Reduction, Data Mining
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تاریخ انتشار 2007