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In this paper we propose a two-level architecture ensemble classifier with incremental learning ability for solving the problem of limited experimental sample of the underwater vehicle machinery noise source. The first-level ensemble classifier aims to improve the generalization performance. The second-level ensemble aims to enable the classifier incremental learning. Experimental result shows two-level...
Based on SVM and incremental learning, this paper proposes a new method for recognition of underwater vehicle noise source on small samples. The new method may establish a classifier which structure is dynamic adjustable, and it can solve both Example- Incremental learning and Class-Incremental learning. The experimentation shows the generalization of classifier can be improved, and the classifier...
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