摘要
本文应用人工神经网络模型中的连续Hopfield网络求解估计城市道路交通出行量分布的反推数学模型,力求提高求解的速度和精度,获得令人满意的结果.
In this paper,the Continuous HopfieId Neural Network is used to solve the Back-Inference Model in estimation of the city’s ODdistribution,so as t o promote the solving speed and accuracy, and the result is satisfactory.
出处
《系统工程理论与实践》
EI
CSCD
北大核心
1995年第5期32-36,12,共6页
Systems Engineering-Theory & Practice
关键词
交通流量
城市道路
估计
神经网络
artificial neural network
OD distribution
continuous hop-field network
back-inference model