智能运输中匝道监视的神经网络模型

Neural Network Model of Ramp Measure and Control in Intelligent Transport

针对智能运输中匝道监视的动态演变过程、非稳定流向问题、智能运输中的模糊性、复杂性和高度自动化系统的稳定性要求的极端可靠性和健壮，对匝道监视的内涵与属性进行讨论，探索匝道监视的运行机理，给出处理匝道监视的神经网络模型，建立逼近网络摄动演变系统，对智能运输基本原理和内在规律的研究将具有重要的理论意义和现实意义。

From the viewpoint of dynamic outcome process, non stabilization flow problem, fuzziness and complicacy, extreme reliability and haleness are requested by stability of high automatic system of ramp measure and control in intelligent transport. This paper discusses connotation and attribute of ramp measure and control, explores course mechanism, gives model of neural network for ramp measure and control, establishes perturbation outcome system of approximation network. There are important theory etical and realistic meanings for researching fundamentals and immanences in intelligent transport.