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Because of fuzzy and correlative parameters of maintainability design, which are the factors to influent the maintainability design, traditional evaluating methods of maintainability design fail to distinctly express the influence of design factors on maintainability. This paper applies a method linking fuzzy mathematic theory and neural network to establish a network for analyzing the parametric...
This paper presents a new wrapper-based feature selection method for multi-layer perceptrons (MLP) neural networks. It uses a feature ranking criterion to measure the importance of a feature by computing the aggregate difference, over the feature space, of the probabilistic outputs of the MLP with and without the feature. Thus, a score of importance with respect to every feature can be provided using...
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