Research on Railway Passenger Flow Prediction Method Based on GA Improved BP Neural Network

ISSN Print: 2327-5219
ISSN Online: 2327-5227
www.scirp.net/journal/jcc
E-mail: [email protected]

Citations

"Research on Railway Passenger Flow Prediction Method Based on GA Improved BP Neural Network"
written by Jian Zhang, Weihao Guo,
published by Journal of Computer and Communications, Vol.7 No.7, 2019

has been cited by the following article(s):

[1]	Short-time prediction model for cross-section passenger flow of trains in urban transit using GCN-AM-BiLSTM
	2023

[2]	Optimal Underwater Acoustic Warfare Strategy Based on a Three-Layer GA-BP Neural Network
	Sensors, 2022

[3]	The relevance of breast motions and gaits in running exercises
	Fashion and …, 2022

[4]	Subway passenger flow prediction based on optimized PSO-BP algorithm with coupled spatial-temporal characteristics
	J. Transp. Syst. Eng. Inf. Technol, 2021

[5]	基于优化 PSO-BP 算法的耦合时空特征下地铁客流预测
	交通运输工程学报, 2021

[1]	Interpretable train-level entry flow prediction using GMM-based features and ensemble learning Applied Soft Computing, 2026 DOI:10.1016/j.asoc.2025.114357

[2]	Forecasting the Number of Passengers on Hungarian Railway Routes Using a Similarity and Fuzzy Arithmetic-Based Inference Method Mathematics, 2025 DOI:10.3390/math13081221

[3]	The relevance of breast motions and gaits in running exercises Fashion and Textiles, 2022 DOI:10.1186/s40691-021-00283-4

[4]	Optimal Underwater Acoustic Warfare Strategy Based on a Three-Layer GA-BP Neural Network Sensors, 2022 DOI:10.3390/s22249701

Top