Feature analysis: Neural network and fuzzy set theoretic approaches
نویسندگان
چکیده
In this paper a new scheme of feature ranking and hence feature selection using a Multilayer Perceptron (MLP) Network has been proposed. The novelty of the proposed MLP-based scheme and its difference from another MLP-based feature ranking scheme have been analyzed. In addition we have modified an existing feature ranking/selection scheme based on fuzzy entropy. Empirical investigations show that the proposed MLP-based scheme is superior to the other schemes implemented. © 1997 Pattern Recognition Society. Published by Elsevier Science Ltd. Feature ranking Feature selection Neural networks Fuzziness measure
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ورودعنوان ژورنال:
- Pattern Recognition
دوره 30 شماره
صفحات -
تاریخ انتشار 1997