Research on IoT network performance prediction model of power grid warehouse based on nonlinear GA-BP neural network

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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Bibliographic Details
Main Authors: Pang Lele, Xia Bo, Cheng Zhanfeng, Ren Zhiqiang, Shen Hao, Li Pengfei
Format: Article
Language:English
Published: De Gruyter 2025-04-01
Series:Nonlinear Engineering
Subjects:
neural network
grid warehouse
internet of things
performance prediction
genetic algorithm
backpropagation
Online Access:https://doi.org/10.1515/nleng-2024-0061
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https://doi.org/10.1515/nleng-2024-0061

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