Research on IoT network performance prediction model of power grid warehouse based on nonlinear GA-BP neural network
This study introduces a novel approach for forecasting network performance prediction in power grid warehouses, employing a nonlinear Genetic Algorithm (GA)-optimized backpropagation (BP) neural network model. The proposed model integrates the global search capability of GA with the learning efficie...
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| Main Authors: | Pang Lele, Xia Bo, Cheng Zhanfeng, Ren Zhiqiang, Shen Hao, Li Pengfei |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2025-04-01
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| Series: | Nonlinear Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/nleng-2024-0061 |
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