Design of BP neural network urban short-term traffic flow prediction software based on improved particle swarm optimization

2019 ◽  
Author(s):  
Qiufang Ma
Keyword(s):  
Neural Network ◽  
Particle Swarm Optimization ◽  
Traffic Flow ◽  
Bp Neural Network ◽  
Particle Swarm ◽  
Short Term ◽  
Swarm Optimization ◽  
Improved Particle Swarm Optimization ◽  
Traffic Flow Prediction ◽  
Flow Prediction

scholarly journals Short-time traffic flow prediction based on immune particle swarm neural networks

2021 ◽  
Author(s):  
Xiaomo Yu ◽  
Yuheng Kang ◽  
Zhou Shen
Keyword(s):  
Neural Network ◽  
Traffic Flow ◽  
Bp Neural Network ◽  
Particle Swarm ◽  
Particle Swarm Algorithm ◽  
Short Term ◽  
Traffic Flow Prediction ◽  
Flow Prediction ◽  
Swarm Algorithm ◽  
Short Time

Abstract The concentration-based selection mechanism in the immune theory can avoid the shortcomings of the particle swarm algorithm in balancing population convergence and individual diversity, and enable the improved particle swarm algorithm to optimize the configuration of BP neural network parameters and improve the accuracy of short-term traffic flow prediction. The simulation experiments show that the immune particle swarm optimized BP neural network can effectively improve the prediction accuracy of short-term traffic flow and reduce the prediction error.

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