摘要: 针对高速公路可变速度控制是一个非线性时变系统,难于用数学模型准确建模这一特点,提出了神经网络控制方法。阐述了神经网络学习算法,设计了高速公路可变速度标志神经网络控制器,并对控制器进行了仿真研究。仿真结果表明,该方法切实可行,具有实用价值。
关键词:
神经网络,
高速公路,
速度标志,
仿真
Abstract: The variable speed control for freeway traffic is a nonlinear and time variable system,it is difficult to model with a mathematical model.A neural network control method is put forward.The neural network algorithm is formulated and the controller is designed.Simulation research is carried out by taking full advantage of a computer.Simulation results show that such an approach is effective and practical.
中图分类号:
梁新荣,刘智勇,毛宗源. 高速公路可变速度标志神经网络控制[J]. , 2005, 31(18): 210-.
LIANG Xinrong1,2,LIU Zhiyong2,MAO Zongyuan1. Neural Network Control on Freeway with Variable Speed Signs[J]. , 2005, 31(18): 210-.