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

• Published in: Nonlinear engineering Vol. 14; no. 1; pp. 1 - 21
• Main Authors: Pang, Lele, Xia, Bo, Cheng, Zhanfeng, Ren, Zhiqiang, Shen, Hao, Li, Pengfei
• Format: Journal Article
• Language: English
• Published: Berlin De Gruyter 17.04.2025; Walter de Gruyter GmbH
• Subjects: Accuracy; Back propagation networks; backpropagation; genetic algorithm; Genetic algorithms; grid warehouse; Internet of Things; neural network; Neural networks; Packet transmission; Performance prediction; Prediction models; Signal strength; Warehouses

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...