基于粗集-神经模糊系统评价模型高速公路项目运营效益

Expressway Project Operation Benefit Model Based on RoughSet-Neuro Fuzzy System

结合高速公路项目运营效益评价的特点,提出了粗集-神经系统的评价模型。利用粗集理论从数据样本中获取约简的规则集作为模糊神经系统的规则,使得规则数目减少,克服了当输入维数高时,模糊神经网络模糊规则过多,结构过于庞大的缺点。采用免疫遗传算法对系统参数进行有控调整有效避免了参数过渡训练的问题,使得系统的结构更为精简,学习速度更快。最后将该方法用于实例,结果初步论证了论文提出的模型和方法的有效性和可行性。

According to the characteristics of benefit evaluation of Expressway Project Operation,this paper puts forward a model of RoughSet-Neuro Fuzzy System evaluation,in which immune genetic algorithm is used to adjust the system parameters of controlled effectively to avoid the parameters of the transition training,making the system structure more streamlined and learning faster.Then we applied this model？to the example.The result of example verifies its validity and feasibility.