Xiumei Qiu

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Neural interpretation is of increasing interest in artificial neural networks and it is potential to reveal the intrinsic mechanism of multivariable systems. This study aims at investigating the efficiency of Bayesian neural networks in neural interpretation. The measures to ensure the stability of the network model are first elaborated and then, two types(More)
The ‘perturbation’ method is an effective and widely used method in the factor sensitivity analysis in neural network design, on which two major problems: the sensitivity definition and the input perturbation ratio, are investigated in this study. Four models are considered in the investigation. Through comparison and analysis, results show that the(More)
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