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- W2364480570 abstract "It is a very complicated and difficult job for classifying the radiated noises of ships.In order to improve the classification performance and dependability of the classifier,a kind of multiple classifiers decision-making model and algorithm based on multi-person decision-makings theory are presented.Through adopting the six categorized results of the BP neural network and the support vector machines which use the Welch spectrum,the linear predictive coding spectrum and the Burg spectrum,the group decision-making is done to classify three different kinds of radiated noises of ships which are collected in many different operating conditions.Experiments results show that the recognition probability arrives at 96.29% and the classification performance is superior to the performance of the individual classifier." @default.
- W2364480570 created "2016-06-24" @default.
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- W2364480570 date "2007-01-01" @default.
- W2364480570 modified "2023-09-25" @default.
- W2364480570 title "Recognition of radiated noises of ships based on multi-person decision-makings theory" @default.
- W2364480570 hasPublicationYear "2007" @default.
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