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- W2388654219 abstract "Moment invariant feature has good geometric and physical meaning,proposed a method for electrical components of installation engineering using neural network to classification and recognition.Through the installation engineering of graph partitioning different electrical components,Calculation of the electrical component of moment invariant feature,normalization processed feature vector,using differentia evolution algorithm to optimize the smooth factor,modified probabilistic neural network as classifier of electrical components.Experimental results show that the method is effective and accurate,for installation engineering quantity calculation of automation has practicability and reference value." @default.
- W2388654219 created "2016-06-24" @default.
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- W2388654219 date "2013-01-01" @default.
- W2388654219 modified "2023-09-25" @default.
- W2388654219 title "Research on classification of electrical components based on differentia evolution and PNN" @default.
- W2388654219 hasPublicationYear "2013" @default.
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