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- W4313143785 abstract "Aiming at the problem that the initial state of industrial system cannot be obtained in the process of data-driven modeling, a modeling method based on improved bird swarm algorithm and initial state optimization was proposed. The method described in this article on industrial system operation process in the historical data of dynamic data as the modeling data, by modeling the system at the end of the data input values of input of the system steady state component, with the system output steady state component, system initial state, the starting point of modeling data model parameters for the optimization of particle dimension, the application of the improved algorithm for optimization, system model is established. The modeling and simulation results of an industrial system show the effectiveness of the proposed method." @default.
- W4313143785 created "2023-01-06" @default.
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- W4313143785 date "2022-09-23" @default.
- W4313143785 modified "2023-09-30" @default.
- W4313143785 title "Dynamic Data Modeling of Industrial System Based on Improved Bird SWARM Algorithm" @default.
- W4313143785 doi "https://doi.org/10.1109/icpre55555.2022.9960697" @default.
- W4313143785 hasPublicationYear "2022" @default.
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