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- W2893844833 abstract "W405 the development of information technology more and more rapidly, the development of image recognition classification technology is also increasingly improved. This paper proposes a method which combines PCA with GA-BP to realize the recognition and classification of small images. Firstly, the dimension of the input data is reduced by PCA, then it was used as the input of GA-BP Neural Network. Genetic algorithm can converge the global optimal solution, combine GA with BP Neural Network can search globally and make the nonlinear mapping ability of neural network be fully exerted, and it has strong learning ability and fast convergence speed. Finally, conducted a comparative experiment of the GA-BP, the traditional BP and this paper proposed algorithm. The results show that compared with the traditional BP and the GA-BP algorithm, this paper proposed algorithm has higher recognition accuracy and better performance than others." @default.
- W2893844833 created "2018-10-05" @default.
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- W2893844833 date "2018-05-01" @default.
- W2893844833 modified "2023-09-25" @default.
- W2893844833 title "Small Image Recognition Classification Based on PCA and GA-BP Neural Network" @default.
- W2893844833 doi "https://doi.org/10.1109/imcec.2018.8469752" @default.
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