Simulation study on dynamic response of an intersection in artificial neural network

Wei Lian-yu, Pang Ming-bao
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Abstract

On the basic of studying the intelligence route guidance and control system, the multi-layering control system can be simulated through artificial neural network (ANN) models and the evaluation and act control of hierarchy route guidance system can be realized in this paper. Then the large control system can be simplified and realized, and the controllability of control system can be realized. The problems of nonlinear, fuzzy, dynamic, large scale control system can be solved and an intersection model of ANN can be discussed in detail. The problem of the intelligence route guidance system can be achieved in the same method.
人工神经网络交叉口动态响应仿真研究
本文在研究智能路线制导与控制系统的基础上,通过人工神经网络模型对多层控制系统进行仿真,实现了分层路线制导系统的评价与行为控制。从而可以简化和实现大型控制系统,实现控制系统的可控性。该方法解决了非线性、模糊、动态、大规模控制系统的问题,并对人工神经网络的交叉模型进行了详细的讨论。智能路线引导系统的问题也可以用同样的方法来解决。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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