摘要
文中采用层次分析法(AHP)与改进的BP神经网络(BPNN)的组合评价方法,建立了AHP-BPNN评价模型,以武汉为例,对国家中心城市综合交通运输进行综合评价,通过样本学习训练和测试仿真,发现AHP-BPNN评价模型的精度比较高,误差精度达到预定的范围内,认为该方法具有可行性。
This paper adopts the combined evaluation method of AHP and the improved BP neural network（BPNN）,and establishes the AHP-BPNN evaluation model.Taking Wuhan as an example,the comprehensive evaluation of the comprehensive transportation of the national central cities is carried out,and the learning training and test simulation can be obtained.The accuracy of the AHP-BPNN evaluation model is relatively high,and the error precision reaches the predetermined range,So the method is feasible.
作者
郭子会
林发锦
闫斗平
张谢东
GUO Zihui1,LIN Fajin2,4,YAN Douping3,ZHANG Xiedong4(1.Inner Mongolia Yitai East Railway limited liability company,Erdos 010300,China;2.Central and southern Municipal Engineering Design ＆ Research Institute Co.,Ltd.,Wuhan 430010,China;3.Yunxian Jinhong Luqiao Engineering Co.,Ltd.,Shiyan 442500,China;4.School of Transportation,Wuhan University of Technology,Wuhan 430063,Chin)
出处
《交通科技》
2018年第4期147-150,共4页
Transportation Science & Technology
关键词
国家中心城市
综合交通运输
BP神经网络
AHP
综合评价
national central city
comprehensive transportation
BP neural network
AHP
comprehensive evaluation
