Combination of Multiple Classifiers with Neural Networks1
نویسندگان
چکیده
Obtaining classification systems with both good generalization performance and high recognition rates often requires careful study on methods of combining multiple classifiers. In this paper, a Kohonen self-organization neural network based combination method is proposed. The system uses the Kohonen's model to integrate the results of several neural network classifiers. The theoretical analysis on self-organization feature map properties illustrates that a feature-map based self-organization neural network is an appropriate combiner. High recognition ability of the classification system can be achieved by using the proposed combination method. The effectiveness of the proposed system is demonstrated on the radar target recognition problem.
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