基于ART网络的高速公路软基处理决策模型

随着高速公路的修建，软土问题越来越突出，已成为影响工程质量，建设工期和工程造价的关键因素之一。对软基处理方案决策理论与方法进行研究具有重大的理论和现实意义。将自适应共振（ART）神经网络模型应用于软基处理方案的决策，对工程应用具有参考价值。实例证明，该模型的计算结果与实际结果和其他方法所得结果是一致的，且与常规优选方法相比，该模型具有实现容易，效率高等特点。

Decision Model of the Soft Ground Improvement Method of the Expressway Using ART Neural Net

With the building of expressways,the problem of soft ground was becoming more and more protrusive and has been one of key factors influencing project quality,project cycle and project cost.So it was a very important task to strengthen the research on the improvement of expressway soft ground,which affected the development of traffic project in China.This paper proposed adaptive resonance theory(ART) neural net which was used to make decision about soft ground improvement method of the expressway.An example showed that the calculated results of this model were in compliance with the practice and other method.At the same time,this new method was better than conventional method of optimization.The advantages of this new method were following: more practical and efficiency.