A genetic integrated fuzzy classifier
نویسندگان
چکیده
This paper introduces a new classifier, that is based on fuzzy-integration schemes controlled by a genetic optimisation procedure. Two different types of integration are proposed here, and are validated by experiments on real data sets of biological cells. The performance of our classifier is tested against a feed-forward neural network and a Support Vector Machine. Results show the good performance and robustness of the integrated classifier strategies. 2004 Elsevier B.V. All rights reserved.
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ورودعنوان ژورنال:
- Pattern Recognition Letters
دوره 26 شماره
صفحات -
تاریخ انتشار 2005