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- W2376665191 abstract "In order to deal with the target decision problem,a fusion algorithm characterized by visual constancy is proposed based on the theory of dynamic fuzzy logic.The first thing to do is to train multiple neural network in the multi-feature space.According to the degree of each feature subset's contribution to the final result,the degree of membership of each feature vector obtained from each feature space is computed,and each feature vector is processed with dynamic fuzzy weight so as to enhance the adaptability of the machine to conduct feature selection and reduce the manual intervention to realize the intelligent goal of the machine.As shown in the experiment,compared with the traditional neural network algorithm,the proposed algorithm performs well under the conditions of missing feature information and noise." @default.
- W2376665191 created "2016-06-24" @default.
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- W2376665191 date "2011-01-01" @default.
- W2376665191 modified "2023-09-23" @default.
- W2376665191 title "Integration of invariant visual features based on dynamic fuzzy set" @default.
- W2376665191 hasPublicationYear "2011" @default.
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