Abstract
BP neural network algorithm has the ability of flexible modeling and data parallel processing. When working with data, it learns through self-learning, adaptive algorithms, and associative functions. In the computational mode algorithm, this paper carries on the forward wizard to the data signal and the reverse wizard to the obtained value. The content of BP algorithm involved in the data is transmitted in the mode of forward guidance, and according to the analysis of the three-layer and above BP neuron model data, the form of the re-adjustment algorithm is obtained, and the interval data are analyzed and summarized, so as to study the trigger event of its application. In this paper, starting from the problem idea, the numerical analysis of the system processed as the starting point, starting from the personnel status quo, personnel form, analysis of the characteristics of the current stage of personnel management, and the difference between the previous personnel form, and summed up the characteristics of modern personnel management mode according to the principle, and analyzed the theoretical knowledge, from the concept, logic, and physical structure of the data analysis and design; an important development direction has been formed in terms of talent.
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Minsheng, L. Application of interactive information system in college personnel management by using BP neural network algorithm. Soft Comput (2023). https://doi.org/10.1007/s00500-023-08617-8
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DOI: https://doi.org/10.1007/s00500-023-08617-8