首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于MATLAB的BP神经网络组合预测模型在公路货运量预测中的应用
引用本文:杨云超,吴非,袁振洲.基于MATLAB的BP神经网络组合预测模型在公路货运量预测中的应用[J].交通标准化,2010(7):207-211.
作者姓名:杨云超  吴非  袁振洲
作者单位:北京交通大学城市交通复杂系统理论与技术教育部重点实验室,北京,100044
摘    要:采用BP神经网络建立公路货运量组合预测的理论模型,灵活利用神经网络通过自适应自学习能够拟合任意非线性函数的功能,有效克服传统的组合预测方法在实际应用中把数据间的关系强加给某一类函数的不足,并借助于先进的数学计算软件MATLAB进行简单的编程,大大降低模型的计算难度,实例证明该方法具有更高的预测精度。

关 键 词:BP神经网络  货运量  MATLAB  组合预测

BP Neural Network Combination Forecasting Model Based on MATLAB Used in Highway Freight Volume Prediction
YANG Yun-chao,WU Fei,YUAN Zhen-zhou.BP Neural Network Combination Forecasting Model Based on MATLAB Used in Highway Freight Volume Prediction[J].Communications Standardization,2010(7):207-211.
Authors:YANG Yun-chao  WU Fei  YUAN Zhen-zhou
Institution:MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology/a>;Beijing Jiaotong University/a>;Beijing 100044/a>;China
Abstract:A new theory model is brought forward and the model based on BP neural network is used in highway freight volume combination forecasting.This model flexibly applied the capability that the neural network can fit any non-linear function by self-adaptation and self-learning,avoiding the shortage effectively that traditional combination forecasting method forces the relationship among the data on some sort of function in the application.With the help of MATLAB,some simple program is compiled.It decreases the d...
Keywords:BP neural network  freight volume  MATLAB  combination forecast  
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号