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- W2953029466 abstract "For correlation between attribute values in the pickling process, the characteristics of the property value within a certain range, introducing genetic algorithm of BP neural network weights and thresholds for global optimization, the optimized model of pickling process after skin embryo quality classification. Experimental results show that the optimized BP neural network can improve the skin embryo classification calculation accuracy and convergence rate, a 9.16% increase over the mean square error (MSE) is not optimized, the optimized model and the bayesian decision tree algorithm, classification accuracy were higher than in both algorithms. Therefore, this model has certain guiding significance and reference value in the leather production process, and improves the actual production efficiency of the factory." @default.
- W2953029466 created "2019-06-27" @default.
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- W2953029466 date "2018-12-01" @default.
- W2953029466 modified "2023-10-14" @default.
- W2953029466 title "Skin Embryo Classification Model based on BP Neural Network optimized by Genetic Algorithm" @default.
- W2953029466 cites W2162118630 @default.
- W2953029466 doi "https://doi.org/10.1109/itoec.2018.8740560" @default.
- W2953029466 hasPublicationYear "2018" @default.
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