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In this paper we apply two reduction algorithms of a neural network architecture in order to improve the prediction quality of a multilayer perceptron network (MLP). The first algorithm is Optimal Brain Damage (OBD), whereas the second is Optimal Brain Surgeon (OBS). Our assumptions have been verified experimentally on the models for electricity consumption prediction using real data from the Polish...
In this study we develop a model for predicting the performance measures of a distributed shared memory (DSM) multiprocessor architecture by using a reliable attributes selection method. The structure of a DSM platform is interconnected by the Simultaneous Optical Multiprocessor Exchange Bus (SOME-Bus), which is a low latency high bandwidth fiber-optic interconnection network. OPNET Modeler is used...
In this paper, a new method is proposed for predicting the future evolution of a time series of spacecraft telemetry data. Because such a time series has usually a non-stationary trend, nonlinear functional relationship between inputs and outputs and other uncertainties, an appropriate prediction model for spacecraft data is needed to set up. To this end, we analyze the characteristics of the Probability...
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