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Article
An improved method for predicting truncated multiple recursive generators with unknown parameters
Multiple recursive generators are an important class of pseudorandom number generators which are widely used in cryptography. Methods to predict the whole sequences by the truncated high-order bits of the sequ...
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Article
Modeling of hydraulic turbine systems based on a Bayesian-Gaussian neural network driven by sliding window data
In this paper, a novel Bayesian-Gaussian neural network (BGNN) is proposed and applied to on-line modeling of a hydraulic turbine system (HTS). The new BGNN takes account of the complex nonlinear characteristi...