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- W3157138611 abstract "The initial connection weight and threshold value of RBM in DBN have a certain influence on the recognition effect of the network. In this paper, the MNIST database is used as the data sample, and the improved genetic algorithm is applied to optimize the initial weight and threshold value in RBM, and the programming is realized by MATLAB language. The simulation results show that the improved DBN model is better than the traditional DBN network model and the traditional genetic algorithm improved DBN model in handwritten numeral recognition." @default.
- W3157138611 created "2021-05-10" @default.
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- W3157138611 date "2021-01-01" @default.
- W3157138611 modified "2023-09-27" @default.
- W3157138611 title "The Application in Handwritten Digit Recognition of Deep Belief Network Based on Improved Genetic Algorithm" @default.
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- W3157138611 doi "https://doi.org/10.1007/978-3-030-75078-7_2" @default.
- W3157138611 hasPublicationYear "2021" @default.
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